80 Science Postdoctoral research jobs at George Washington University in united kingdom
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Economics Office (AEO), a part of the Engineering Laboratory (EL) at NIST, which provides economic products and services through research and consulting to industry and government agencies in support of
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Economics Office (AEO), a part of the Engineering Laboratory (EL) at NIST, which provides economic products and services through research and consulting to industry and government agencies in support of
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-organism performance (e.g., locomotion) by integrating techniques from biomechanics, materials science and engineering, and evolutionary biology. Specifically, the postdoctoral associate would collect
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initiatives . The Department of Engineering Management and Systems Engineering at The George Washington University is well known for its teaching and research accomplishments. The Department and the University
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initiatives . The Department of Engineering Management and Systems Engineering at The George Washington University is well known for its teaching and research accomplishments. The Department and the University
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network and support the experimental program there. Minimum Qualifications This position requires Ph.D. in public health or a related field (e.g., epidemiology, biostatistics, data science, etc.). A strong
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/Department: Columbian College of Arts & Sciences (CCAS) Expected duration of appointment 1 Year Position Designation On-Campus Special Instructions to Applicants Employees in this subfamily are responsible
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per week Work Schedule Monday through Friday, 9:00 - 5:30 Campus Location Foggy Bottom, Washington, D.C. College/School/Department: School of Medicine and Health Sciences (SMHS) Expected duration
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Qualifications This position requires Ph.D. in public health or a related field (e.g., epidemiology, biostatistics, data science, etc.). A strong background in quantitative/qualitative methodology, writing, and
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Qualifications This position requires Ph.D. in public health or a related field (e.g., epidemiology, biostatistics, data science, etc.). A strong background in quantitative/qualitative methodology, writing, and