20 computer-science Postdoctoral positions at George Washington University in Postdoctoral
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, biological anthropology or a related field. The postdoc will also assist with writing reports and publications, train students, and assist faculty in the preparation of new grant applications. In some cases
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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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total of five years. This appointment is not intended for long-term, indefinite, or career appointments. I. POSITION INFORMATION Job Description Summary: Department of Decision Sciences, George Washington
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collaborations with U.S. national institutes and other academic partners. Minimum Qualifications Has, or will have by start date of the position, a Doctorate degree in Electrical and Computer Engineering or
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PhD or equivalent qualification in a relevant field by the date of employment. Desired Qualifications: PhD in any engineering discipline. Strong proficiency in coding, including coding in python
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for Biomedical Sciences. Its mission is to deliver high- quality education, advance scientific knowledge, and improve human health through cutting-edge biomedical research. The Postdoctoral researcher will lead a
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initiatives. The Department of Biochemistry and Molecular Medicine (BMM) of the George Washington University, School of Medicine and Health Sciences (SMHS), strives to deliver the highest quality
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. For program details and eligibility, please visit https://hr.gwu.edu/postdoc_benefits. II. POSITION INFORMATION Posting Number P010145 Job Open Date 04/23/2026 Job Close Date Part-time / Full-time PF Post Doc
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work on topics related to AI, meta-analysis of scientific literature, and trustworthiness in AI. The scholar will have deep expertise in AI, meta-analysis, and/or social science. As part of their role
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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