2,830 systems-science "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions in United States
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computer sciences, and other technical and non-technical fields. Additional qualifications (required at time of start) Applicants are required to hold a Ph.D. or received a Ph.D. degree by the start of
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Requisition Id 16149 Overview: Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
(Python, R, or equivalent). Experience with machine learning, multi-omics data analysis, cancer genomics, immunogenomics, or systems biology of transcriptional regulation is highly desirable. Position 2
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Cornell University, Information Science Position ID: Cornell-IS-POSTDOC_NTO [#31443] Position Title: Position Type: Postdoctoral Position Location: Ithaca, New York 14850-4623
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visit: https://www.unr.edu/engineering Additional information is available at: http://www.unr.edu/cee/ Contact Information All inquiries should be directed to Prof. Hamed Ebrahimian (hebrahimian@unr.edu
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Plasma Physics Lab and in the Physics, Geosciences, and Mechanical and Aerospace Engineering Departments, and at the nearby Institute for Advanced Study. The expected start date is September 1, 2026
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- Plant Bioinformatics and Systems Genomics Department of Biochemistry & Molecular Biology University of Nevada, Reno (UNR). The University of Nevada, Reno (UNR) invites applications for a Postdoctoral
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materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5.myworkdayjobs.com/UASYS Please do not send to listed recruitment contact. Special Instructions to Applicants: Pre
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should have research experience in mathematical biology, preferably using theoretical and numerical approaches to understand mechanisms in biological systems. The successful candidate will work under the
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://www.nature.com/articles/s42256-021-00368-1) or executing large-scale meta-analyses of mass spectrometric datasets (https://www.nature.com/articles/s41592-021-01194-4). The research is computational in nature but