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Field
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 8 days ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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Posting Details Posting Details Logo Institution South Dakota Mines Working Title Postdoctoral Researcher Posting Number NFE03175P Department SDSMT-Electrical Engineering & Computer Science Physical
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Posting Details Posting Details Logo Institution South Dakota Mines Working Title Postdoctoral Researcher Posting Number NFE03175P Department SDSMT-Electrical Engineering & Computer Science Physical
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Join the Veldhorst Group, pioneers in germanium-based quantum computing and simulation. Job description After a successful first hire for this research topic, we are looking for a second
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Hours Per Week 40 Offer Starting Date 12 Oct 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number [FENG.02.02-IP.05-0157/25] Is the Job related to staff
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incubation and start-up ecosystems. About COLCOM: UM6P’s College of Computing's mission is to harness advances of the computing age, by transforming the capabilities of academia in all key areas; computing
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) . About the program/department/team The successful candidate will contribute to an international collaborative research project involving researchers from the Ted Rogers School of Management at TMU and the
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Primary Duties & Responsibilities: Assists research studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic
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, operational, and societal constraints. The postdoc will work at the interface of reinforcement learning and computational epidemiology, focusing on the development of new reinforcement learning algorithms