17 high-performance-quantum-computing Postdoctoral positions at George Washington University
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contributes to ARAC’s scientific portfolio through independent data analysis, development of computational workflows, integration of genomic and epidemiologic datasets, and coordination of research activities
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; keep a detailed notebook summarizing experiments and recording research data; maintain computer database of research data; tabulate and display data for presentation in research conferences and for
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for an additional six months based on performance and availability of funds. This position is made possible via funding from the ACS Sustainable Futures Initiative Grant Program. Application Instructions
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depression and/or Parkinson’s disease. The position will perform these experiments using patch clamp electrophysiological approaches, and/or in-vivo behavior testing. Interactions are expected with other
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collaborators regarding progress. Writing, editing, and submitting manuscripts/abstracts detailing the results of the project Performing other related duties as assigned. The omission of specific duties does not
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the work of research assistants and other staff. This role performs work under the supervision of experienced researchers. The candidate would ideally start as soon as possible. But there is flexibility
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depression and/or Parkinson’s disease. The position will perform these experiments using patch clamp electrophysiological approaches, and/or in-vivo behavior testing. Interactions are expected with other
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potential to excel in tasks related to computational social science research. This position may also help lead and direct the work of research assistants and other staff. This role performs work under the
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Trustworthy AI Systems NSF Research Traineeship , the Digital Trade and Data Governance Hub , the Center for Machine Learning, and the Human-Computer Interaction Lab at UMD, and the Center for Equitable AI and
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Trustworthy AI Systems NSF Research Traineeship , the Digital Trade and Data Governance Hub , the Center for Machine Learning, and the Human-Computer Interaction Lab at UMD, and the Center for Equitable AI and