85 computer-science-data-warehouse Postdoctoral research jobs at University of Minnesota
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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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Materials Science in the College of Science and Engineering on the East Bank Campus of the University of Minnesota-Twin Cities. For more information on CEMS please visit our website: https://www.cems.umn.edu
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Previous Job Job Title Post-Doctoral Associate in the Department of Chemistry 2025-2026 Next Job Apply for Job Job ID 369461 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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Previous Job Job Title Post-Doctoral Associate - Department of Biology Teaching and Learning Next Job Apply for Job Job ID 369337 Location Twin Cities Job Family Academic Full/Part Time Full-Time
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Previous Job Job Title Post-Doctoral Associate - Data-Driven Literacy Lab Next Job Apply for Job Job ID 368178 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary
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Previous Job Job Title Post-Doctoral Associate - Department of Integrative Biology and Physiology Next Job Apply for Job Job ID 368521 Location Twin Cities Job Family Academic Full/Part Time Full
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interdisciplinary exchange, a growing population science training program, and research support services designed to develop and nurture promising areas of new population research. Affiliates of the MPC benefit from
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Council, the project will integrate new data collections with existing datasets from recent studies and monitoring programs to understand how pond age, design and management influence trajectories of pond
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the specific aims of the USDA-NIFA grant and obtain preliminary results for a competitive renewal. Successful execution of these experiments is necessary to accumulate data to enable publication of project
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, computer science, quantitative biology, or related field by the time of the appointment. Skills: - Experience with the analysis of shotgun metagenomics and taxonomic data in the context of human biology. - Strong