34 parallel-computing-numerical-methods research jobs at George Washington University
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various voluntary benefits. For program details and eligibility, please visit https://hr.gwu.edu/benefits-programs. II. POSITION INFORMATION Campus Location: Foggy Bottom, Washington, D.C. College/School
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Posting Details I. DEPARTMENT INFORMATION Job Description Summary: The Program on Extremism at George Washington University provides analysis on issues related to violent and non-violent extremism
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work primarily with the Atlantic Fellows for Health Equity (AFHE) program. The associate will also have the opportunity to work with faculty and staff across the Fitzhugh Mullan Institute for Health
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include: Design and implement research protocols; design safety procedures; adapt new procedures, methods or instrumentation relative to research procedures. Collect, prepare and analyze research data; keep
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; adapt new procedures, methods or instrumentation relative to research procedures. ● Collect, prepare and analyze research data; keep a detailed notebook summarizing experiments and recording research data
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duties include: · Design and implement research protocols; design safety procedures; adapt new procedures, methods or instrumentation relative to research procedures. · Collect, prepare and analyze
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; adaptnew procedures, methods or instrumentation relative to research procedures. ● Collect, prepare and analyze research data; keep a detailed notebook summarizing experiments and recording research data
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; adapt new procedures, methods or instrumentation relative to research procedures. ● Collect, prepare and analyze research data; keep a detailed notebook summarizing experiments and recording research data
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Undergraduate, Master and Graduate Students. Research Programs span from cancer biology, hepatobiology, autism, vascular biology, and computational genomics. Unlocking the mysteries of biologic processes
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deep expertise in computational approaches to social science, including but not limited to the collection and analysis of large amounts of data. The applicant will be intimately familiar with