Total 1,176 Others level Science / R&D / Research job vacancies in Wallops Island, Virginia

• Perform a full range of laboratory testing to include but not limited to Chemistry, Hematology, Urinalysis, Coagulation, Microbiology, or Blood Bank section.
• Resolve technical problems and ensures remedial actions are taken whenever test results deviate from the laboratory's established performance specifications.
• Ensure the quality control system is at the appropriate level to properly monitor testing performed by laboratory personnel.
• Evaluate reports by analyzing facts and performing appropriate research and prepares detailed responses.
• Compare new methods or instrumentation with existing ones to determine performance characteristics suitability.
• Perform various tests that may stand alone or in an algorithm of other laboratory testing to diagnosis and assess the prognosis of patients.

• You will develop scientific methods and techniques in the discovery, review, selection, experimentation, operations analysis and warfighting assessments of current and emerging capabilities.
• You will conduct advanced Information Warfare (IW) warfighting capabilities, readiness, doctrine and training analyses.
• You will assess Carrier Strike Group (CSG), Amphibious Ready Group (ARG), and Independent Deployer (ID) Post Deployment Reports to gain insight into shortfalls in existing doctrine and training for IW mission areas.
• You will manage and develop the command's capability assessment inputs and operational analysis products.
• You will analyze mid and post deployment briefs, C2X Sitreps, and strike group lessons learned and develop associated complex problem-solving methods to identify warfighting gaps.
• You will develop innovative analytical approaches, to be applied in the assessment of emerging capabilities and innovating solutions to IW problem sets.
• You will analyze IW related experiment and exercise data, mission essential tasks, doctrine and disseminate those products.
• You will function as a technical authority for IW related metrics used to evaluate Fleet IW readiness.
• You will represent Naval Information Warfighting Development Center (NIWDC) in all matters pertaining to operations analysis, concept development, wargaming, experimentation, test and evaluation.
• You will conduct Navy-wide tactical level warfighting effectiveness assessments across the range of military operations and threat spectrum.

• Serve as a senior Operations Research Analyst and serves as an advisor to the branch chief and division director regarding the performance, operation, and cost of the purchased care system.
• Ensure that the organization’s strategic plan, mission, vision, and values are integrated into the assigned projects’ strategies, goals, objectives, work plans and work products and services.
• Responsible for development and implementation of complex analytical studies pertaining to existing and proposed programs.
• Lead and conduct quantitative/qualitative analysis of policies, programs, and processes related to health care and resource management.
• Direct and perform very complex research and acquires knowledge and understanding of new or revised programs to improve control of costs within the purchased care system
• Use advanced statistical packages specifically including SAS, SAS data tools, SAS Macro language, Stata, and SQL.
• Utilize business intelligence tools Cognos and Business Objects to manipulate large and complicated health data systems, to conduct business case analyses to track cost, utilization, and compliance across the entire spectrum of TRICARE services.
• Contribute to the development of project plans, operating plans and supporting budgets.

This Operations Research Analyst position is located Security Operations, Administrative Services, Transportation Security Administration, Department of Homeland Security (DHS). Duties include but are not limited to:

• Applies experience and advanced technical know ledge of operations research analysis to lead complex analyses and small studies on a quantitative or qualitative basis, formulate overall concepts, evaluate findings, and recommend solutions for determining the effectiveness of field program or operations to meet established goals, measures, and objectives.
• Plans, coordinates, and conducts analytical studies using large volumes of data to projects the likelihood of a terrorist attack and leverages analytical results to improve programmatic operations.
• Participates in the selection and application of mathematics, economics, econometrics, and statistics appropriate to conducting Risk Analytics.
• Provides technical guidance and coordinates efforts involved in carrying out various aspects of assignments, the design of samples and experiments, and the design of evaluation and program monitoring techniques. Monitors, evaluates, and documents the results of work activities and prepares final recommendations.
• Participates in meetings, briefings, presentations, and conferences with other management officials to discuss major program changes, performance metrics, projects milestones, formulates, executives and justifications to influence decisions and provide guidance.
• Identifies mathematical applications to improve existing programs, determines types of data to be collected, formulates study methodologies, and assists functional activities in the implementation of operational segments and data analysis.

As a CONTRACT SPECIALIST GS-1102-13/14, some of your typical work assignments may include:

• Serve as the principal acquisition advisor to technical clients, providing expertise on use of Other Transactions in non-procurement and prototyping situations.
• Active involvement in the acquisition planning process, adapting to each technical offices varying internal processes, management and communication styles and personalities while reviewing and assessing requirements and developing the most appropriate, streamlined, and efficient acquisition strategy.
• Serve as a contracting officer, a grants officer, or an agreements officer with specified negotiation authority for assigned technical programs across technical offices and acquisitions.
• Assess and resolve complex pre-award issues including evaluating contractor technical and financial capability and perform cost analysis, negotiating subcontracting issues including utilization of small disadvantaged businesses as sub-contractors, and reinterpreting policies to apply to new or changing circumstances.
• Independently monitor contract performance, changes, deliverables, schedules, & financial status.
• Serves as the principal acquisition representative for a primary technical office, but also assists DARPA's technical offices in matters related to acquisitions and assistance.
• Inform senior management of significant actions, anticipated acquisition strategies and potential issues requiring management and/or General Counsel involvement.
• Manage workload and perform contract management using a host of electronic tools.
• Maintain continuous learning through training courses, professional activities, attendance at conferences, and speaking to maintain DoD education requirements.

As a Program Analyst (Resources) at the GS-0343-14 some of your typical work assignments may include:

• Providing financial management, program analysis, administrative guidance, and assistance to ensure sound and timely
  development of ongoing and proposed programs.
• Assisting in the budget formulation and justification process within the office.
• Ensuring the preparation of complete and well written Military Interdepartmental Purchase Requests (MIPRs) and Purchase
  Requests (PRs) for the initiation and/or continuation of research programs.
• Functioning as the focal point and Contracting Officer's Representative (COR) for office support contracts.
• Working as an analyst in conducting continuing analyses of one or more functional or program areas of office or DARPA
  acquisitions for the purpose of providing DARPA management, other federal agencies, contractors and congressional offices
  with financial and DARPA program information.

The Central Virginia Veterans Affairs Health Care System, Richmond VAMC is looking for a Registered Nurse into the role of SCI/D RN Wound Ostomy Continence Nurse in the Spinal Cord Injury Unit, off tour, and alternating/weekend shifts.


Duties include, but are not limited to:

-The Spinal Cord Injury and Disorders (SCI/D) RN Wound Ostomy Continence Nurse is directly responsible to the designated manager in the assigned area; the registered nurse is responsible for the prevention, health maintenance, therapeutic intervention, and rehabilitative nursing care to a culturally diverse veteran SCI/D patient population with disorders of the gastrointestinal, genitourinary, and integumentary systems.

-Participates in the interdisciplinary plan of care.

-Participates in wound care rounds.

-Maintain records of wounds, both present on admission and hospital-acquired.

-Make recommendations for wound ostomy continence patient needs.

-Provide staff education related to wound ostomy and continence nursing care.

-Provides extensive patient education.

-Participates in telehealth conferences for patients with wound, ostomy, and continence needs.

-Assist in choosing and ordering hospital supplies including beds, mattresses, wound care dressings, etc.

-Participate in biannual prevalence and data collection.



Pay: Competitive salary, regular salary increases, potential for performance awards
Paid Time Off: 50 days of paid time off per year (26 days of annual leave, 13 days of sick leave, 11 paid Federal holidays per year)
Retirement: Traditional federal pension (5 years vesting) and federal 401K with up to 5% in contributions by VA
Insurance: Federal health/vision/dental/term life/long-term care (many federal insurance programs can be carried into retirement)
Licensure: 1 full and unrestricted license from any US State or territory

Work Schedule: Alternate shifts available. Tour of Duty includes Day 7:30am to 4:00pm, 7:30am to 8pm, Nights 11:30pm to 8am, 7:30pm to 8:00am.
Telework: Not available
Virtual: This is not a virtual position.
Relocation/Recruitment Incentives: Not Authorized
Permanent Change of Station (PCS): Not Authorized
Financial Disclosure Report: Not required
VA offers a comprehensive total rewards package: VA Nurse Total Rewards

The incumbent serves as a data analytic expert for their assigned organization, performing and overseeing data analysis projects and applying specific expertise in data analytics to support organizational decision making. The incumbent will perform the following duties:

• Serve as a resource and leader to Federal and contractor staff in implementing, managing, tracking, and evaluating complex data analysis projects; define customers and apply system architecture principles to develop and manage technical requirements, plan resources, and meet stakeholder business needs and constraints.
• Develop efficient project organizational structures and apply system architecture principles to projects; manage project plans to ensure logistical efficiency, identify, and resolve potential bottlenecks.
• Partner with stakeholders internal and external to their organization in continuous improvement processes impacting data quality, performance enhancements, and overall user experience; and offer expertise when participating in discussions with non-technical internal customers to understand the problem and identify required data sets, collection mechanisms, and other key stakeholders required to solve the problem.
• Assess data interface and storage requirements and needs, oversee and maintain the organizational databases and data systems for data acquisition, storage, and retrieval; use tools to transform, combine, and clean data in preparation for analysis and use appropriate analytic and statistical software to clean imperfect data and prepare data for analysis.
• Translate complex concepts, findings, and limitations into concise, plain language; routine analysis tasks will include structured, loosely structured, and unstructured data from primary and secondary sources and require working with large datasets and numerous confounding variables.

We are seeking talented and experienced Robotics Scientist with strong understanding in manufacturing production processes, robotic process applications, and automation solutions to solve industry challenges.

Roles & Responsibilities:

Perception-guided manipulation

-Develop and optimise state-of-the-art robotic algorithms (object detection, recognition, and tracking using various sensors, advance motion planning, inverse & forward kinematics) for perception-guided manipulation systems.

-Collaborate with hardware engineers to integrate software solutions into robotic platforms.

Skill transfer research and development

-Develop and implement transfer learning models for various machine learning tasks, including image recognition, natural language processing, and recommendation systems.

-Collaborate with domain experts to understand specific business requirements and adapt transfer learning models accordingly.

-Utilise transfer learning to enhance the efficiency and applicability of expert skills and stay updated on the latest advancements in transfer learning and skill adaptation.

Project proposal, scoping & execution

-Lead discussions with stakeholders to obtain holistic understanding of problem statements, requirements, and expectations.

-Perform technology scouting on industrial robotic applications and automation best practices.

-Perform process mapping and robotic process feasibility analysis.

-Develop project proposals and concepts for intelligent robotic processes and automation.

-Perform simulation-based programming of robotic motion.

-Execute development & implementation of robotic processes according to project life cycle, including technical project write-up and presentation.

Job requirement

· PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field.

· Experience in robot trajectory planning and machine learning, with a strong portfolio of relevant projects.

· Proficiency in programming languages such as Python, C++, and/or Matlab

· Knowledge of deep learning frameworks like TensorFlow and/or PyTorch for building and training neural networks.

· Strong communication skills to collaborate effectively with colleagues and present technical findings.

· A passion for robotics and a desire to stay updated with the latest developments in the field.

· Strong commitment to solving technical challenges in the field of robotics, approaching obstacles with a positive and determined mindset.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

Innovative Electronic & Electromagnetic Devices Laboratory (i-Lab@NTU) led by Prof. Mohammad Samizadeh Nikoo is seeking for a research fellow to focus on fabrication, simulation, and characterization of electronic devices. The role will focus on fabrication, simulation, and characterization of electronic devices.

Key Responsibilities:

• Micro- and Nano-fabrication of electronic devices in cleanroom environments.
• Experimental characterization and simulation of electronic devices.
• Providing general research support to i-Lab.

Job Requirements:

• PhD degree in Electrical Engineering or related field
• Expertise in cleanroom nano-fabrication
• Strong publication track record
• Excellent verbal and written communication skills
• Ability to work well in a team

To apply, please send your CV and the contact details of two references.

We regret to inform that only shortlisted candidates will be notified.

Job Description: Software Engineer

As a Software Engineer at D-SIMLAB Technologies, you will gain exposure to both technical and soft skills development while working on innovative software solutions for world-leading semiconductor manufacturers. This role extends beyond software development, involving close collaboration with clients and providing professional consultation services to support their operational needs.

Key Responsibilities:

• Software Product Deployment and Delivery:
  Collaborate with a team of Software Engineers and Data Scientists to ensure smooth deployment and delivery of D-SIMLAB’s software products at semiconductor manufacturing sites. Work with global clients to address their technical needs and deliver high-quality solutions.
• Product Enhancement:
  Contribute to the continuous improvement of D-SIMLAB’s software, focusing on areas such as data visualization and algorithm optimization to improve product quality and user experience. Actively participate in product development cycles, from conceptualization to implementation.
• Key Software Component Development:
  Take ownership of the development and maintenance of critical software components, ensuring scalability, performance, and reliability in diverse manufacturing environments.
• Client Consultation:
  Provide technical expertise and consultation to customers, helping them implement and optimize D-SIMLAB’s software solutions in their manufacturing processes.
  Assist in troubleshooting and problem-solving to enhance client satisfaction.
• Collaboration and Innovation:
  Work in a multicultural and multidisciplinary team, contributing to innovative ideas and technical solutions. Stay updated on the latest technology trends and actively seek ways to improve the efficiency and performance of the software.

Candidate Requirements:

• Education:
  Bachelor’s or Master’s degree in Computer Science, Software Engineering, Industrial Engineering, or a related field.
  Diploma holders with relevant experience are encouraged to apply.
• Technical Skills:
  Strong skills in C#, .NET, SQL.
  Familiarity with software development life cycles, agile methodologies, and version control systems.
  Experience with algorithms, data structures, and software architecture design.
  Experience with visualization frameworks and tools is an advantage.
• Soft Skills:
  Strong interpersonal and communication skills, with the ability to work effectively with clients and teams from different technical and cultural backgrounds.
• Adaptability and Willingness to Travel:
  Willingness to travel internationally and work on challenging projects at semiconductor manufacturing sites. Ability to adapt quickly to new environments and work under pressure to meet project deadlines.
• Career Growth:
  Interest in personal and professional growth by enhancing both technical and soft skills.Fresh graduates are welcome to apply.

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

We are looking for a highly motivated candidate to join us as a research fellow to facilitate the research program in the development of next generation steels funded by Singapore National Research Foundation led by Nanyang Assistant Professor Yi-sheng (Eason) Chen.

Key Responsibilities:

• Support the delivery of project goals
• Conduct high-quality research and disseminate outcomes in peer-reviewed journals and academic conferences
• Participate in supervising undergraduate and postgraduate researchers
• Collaborate with local/overseas research groups
• Establish one or more independent research programmes under the guidance of PI and other senior mentors
• Develop competitive funding proposals in collaboration with PI and other senior colleagues
• Engage in teaching undergraduate and graduate courses and contribute to curriculum development and pedagogical innovation
• Contribute to the development of international and local research communities
• Support the operation of PI's research group, including recuitment and external engagement
• Engage in developing and mainting a safe and inclusive work environment

Job Requirements:

• PhD in Materials Science or related fields
• Excellent proven skills in the fields of physical metallurgy and materials characterization
• Excellent communication skills and the ability to transmit research results into published research outcomes.
• Knowledge and experience in one or more of the following techniques: transmission electron microscopy (TEM), electron backscatter diffraction (EBSD), transmission Kikuchi diffraction (TKD), atom probe tomography, and associated sample preparation techniques including focused ion beam (FIB).
• Ability to work independently and to communicate effectively with team members
• Ability to work effectively under pressure to meet research deadlines
• Ability to work collaboratively with academic and industry partners
• Sound working knowledge and acute awareness of safety regulations and operating procedures within the laboratory environment.

We regret that only shortlisted candidates will be notified.

Job Description: Data Analyst

As a Data Analyst at D-SIMLAB Technologies, you will play a key role in deriving insights from large datasets to optimize semiconductor manufacturing processes. This role focuses on data extraction, analysis, and actionable insights, while collaborating with cross-functional teams to develop and deploy D-SIMLAB’s software products as well as provide professional consultation services to our clients. The ideal candidate is someone who excels in data-driven analysis and is eager to work on high-impact projects in the semiconductor industry.

Key Responsibilities:

• Data Extraction and Analysis:
  Collect, clean, and analyze large datasets from semiconductor manufacturing environments to ensure data consistency, completeness, and correctness.
  Use statistical methods and data mining techniques to identify patterns, trends, and anomalies that impact production performance.
• Performance Evaluation:
  Analyze the gap between planned and actual production outcomes. Identify root causes for performance deviations and recommend data-driven strategies for process improvement. Develop reports and visualizations to present findings to clients and internal stakeholders.
• Data-Driven Insights:
  Provide actionable insights based on data analysis to optimize semiconductor manufacturing processes. Work closely with clients to understand their specific needs and translate data findings into operational and strategic improvements.
• ETL and Data Modeling:
  Build and maintain ETL processes to integrate data from various sources into D-SIMLAB’s data models. Collaborate with simulation modeling teams to ensure accurate and reliable data is fed into models.
• Consultation Services:
  Act as a trusted advisor to clients by offering data-driven recommendations for enhancing their production efficiency. Present analyses and proposals to both technical and non-technical stakeholders, ensuring clarity and actionable takeaways.
• Data Visualization and Reporting:
  Create dashboards and reports using advanced data visualization tools to communicate key insights and trends effectively. Continuously improve reporting mechanisms to provide real-time insights and support ongoing optimization efforts.
• Collaboration with Teams:
  Work with Software Engineers, Data Scientists, and other cross-functional teams to ensure that data insights align with product goals and customer needs. Contribute to product enhancement initiatives, focusing on the improvement of data-related components and analytics.

Candidate Requirements:

• Education:
  Bachelor’s/Master’s degree in Data Science, Computer Science, Industrial Engineering, or a related field.
• Experience:
  Strong analytical skills with a minimum of 2 years of experience in data analysis, preferably in an industrial environment. Semiconductor experience is a plus.
• Technical Skills:
  Proficiency in SQL and Microsoft Excel.
  Experience with data visualization tools (e.g., Power BI, Tableau) is highly desirable.
  Experience with ETL processes and database management.
• Analytical Abilities:
  Strong problem-solving skills and the ability to handle large datasets and deliver actionable insights to improve operational performance.
• Soft Skills:
  Ability to work collaboratively in a multicultural, multidisciplinary team.
  Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
• Willingness to Travel:
  Willing to travel for international projects and collaborate closely with clients and internal teams.

We are seeking talented and experienced Robotics Scientist with strong understanding in manufacturing production processes, robotic process applications, and automation solutions to solve industry challenges.

Roles & Responsibilities:

Perception-guided manipulation

-Develop and optimise state-of-the-art robotic algorithms (object detection, recognition, and tracking using various sensors, advance motion planning, inverse & forward kinematics) for perception-guided manipulation systems.

-Collaborate with hardware engineers to integrate software solutions into robotic platforms.

Skill transfer research and development

-Develop and implement transfer learning models for various machine learning tasks, including image recognition, natural language processing, and recommendation systems.

-Collaborate with domain experts to understand specific business requirements and adapt transfer learning models accordingly.

-Utilise transfer learning to enhance the efficiency and applicability of expert skills and stay updated on the latest advancements in transfer learning and skill adaptation.

Project proposal, scoping & execution

-Lead discussions with stakeholders to obtain holistic understanding of problem statements, requirements, and expectations.

-Perform technology scouting on industrial robotic applications and automation best practices.

-Perform process mapping and robotic process feasibility analysis.

-Develop project proposals and concepts for intelligent robotic processes and automation.

-Perform simulation-based programming of robotic motion.

-Execute development & implementation of robotic processes according to project life cycle, including technical project write-up and presentation.

Job requirement

· PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field.

· More than 5 years of experience

· Experience in robot trajectory planning and machine learning, with a strong portfolio of relevant projects.

· Proficiency in programming languages such as Python, C++, and/or Matlab

· Knowledge of deep learning frameworks like TensorFlow and/or PyTorch for building and training neural networks.

· Strong communication skills to collaborate effectively with colleagues and present technical findings.

· A passion for robotics and a desire to stay updated with the latest developments in the field.

· Strong commitment to solving technical challenges in the field of robotics, approaching obstacles with a positive and determined mindset.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description

-Responsible for leading and managing an industry-facing programme focusing on AI solution development & implementation in manufacturing sector.

-Define & execute an overall programme management framework, including but not limited to finance / governance / resource management / IHL collaboration / stakeholder management / programme administration / project management etc.

-Responsible for the programme overall progress and compliance to grantor?s requirements, and report to all internal and external stakeholders regularly.

-Provide leadership guidance to project managers, coordinate cross-project activities to accomplish strategic objectives, oversee multiple projects across various research organizations, and ensure successful delivery of project scope and targets while managing all the risk, quality, delivery, scope, schedule, and budget.

-Support ecosystem development with relevant stakeholders from public agencies, IHL and industry for economic impacts in the programme.

-Work closely with AI researchers and manufacturing domain experts together with industry partners to capture AI manufacturing use cases and manage the full life cycle of R&D projects by planning organizing, executing, monitoring and evaluating from conception to completion, and eventually to industry implementation.

Job Requirement

• Bachelor or Masters in any Science & Engineering related disciplines.
• At least 5 years or more of large-scale multiple-party project management experience in technology and/or product development; any past experience on research project would be preferable.
• Ability to demonstrate a good level of understanding of various engineering subjects, manufacturing technology, product development, latest AI technology trend
• Ability to deal with complex stakeholder management with public agencies, academia, research organization, industry, and trade association.
• Good business acumen, able to identify business opportunity independently and interact with industry partners confidently.
• Proactive team player and technically motivated to solve problems, innovate and deliver to industry.
• Strong communicator with excellent interpersonal skills; strong logic thinking and writing skills.
• PMP certifications or equivalent will be advantageous.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.