28 phd-computer-science-fully-funded Postdoctoral positions at George Washington University
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have a PhD in neuroscience or an equivalent field (Physics and Engineering degree holders are highly encouraged. The ideal candidate has some experience with the recording, imaging and/or analysis
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across AI, incorporating insights from algorithm development, systems engineering and architecture, human psychology, sociology, law, science and technology studies, economics, and policy studies. Faculty
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across AI, incorporating insights from algorithm development, systems engineering and architecture, human psychology, sociology, law, science and technology studies, economics, and policy studies. Faculty
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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
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all requirements for the award of a PhD or equivalent qualification in a relevant field by the date of employment. Desired Qualifications: Solid experimental experience in cell and molecular biology and
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; maintain computer database of research data; tabulate and display data for presentation in research conferences and for manuscript preparation; use graphics and statistical software to analyze and present
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summarizing experiments and recording research data; maintain computer database of research data; tabulate and display data for presentation in research conferences and for manuscript preparation; use graphics
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part of a HRSA-funded National Research Service Award (NRSA) at GW for individuals with career interest in primary care research (T32). GW has everything you need to succeed in your research career
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and facilitates several institutional research initiatives . The Department of Biochemistry and Molecular Medicine (BMM) of the George Washington University, School of Medicine and Health Sciences (SMHS
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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