40 computer-programmer-"Multiple"-"Prof"-"U.S"-"O" "O.P" Postdoctoral positions at Yale University
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: the Yale Program for the Study of Global Antiquity. Archaia is a collaborative forum that brings together scholars and graduate students working on early and pre-modern cultures and civilizations at Yale in
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Postdoctoral Associate position on Informatics, Data Science and Machine Learning in the Dr. Ohno-Machado Lab at Biomedical Informatics and Data Science, Yale University Job Description Under
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activities in which the postdocs could participate, including a Data Intensive Social Science Center, a center for Biomedical Data Science, and the Schmidt Program on Artificial Intelligence, Emerging
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Title of the Position: Postdoctoral Associate – Computational cancer biology (Aitken Lab) Department and School: The Center of Molecular and Cellular Oncology (CMCO) and Department of Pathology
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Postdoctoral Associate in Computational Neuroscience at Yale The Post-Doctoral Associate will develop predictive, gene-regulatory networks linked to Parkinson’s and other neurological diseases in
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to become an independent academic researcher in the areas of translational addiction genomics/epigenetics, computational psychiatry, and aging. The postdoctoral associate will work primarily with Dr. Ke Xu
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high impact careers in biomedical research. This is an opportunity for a highly motivated individual with a background in population genetics, computational biology, or a related area. Candidates with
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) Ph.D. program transcript Two letters of recommendation Please electronically submit application materials to https://www.aeaweb.org/joe/listing.php?JOE_ID=111474399 before January 31, 2025. A review of
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Posting Date: 11/01/2024 Postdoctoral Associate position on Informatics, Data Science and Machine Learning in the Dr. Ohno-Machado Lab at Biomedical Informatics and Data Science, Yale University Job
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Multiple postdoc positions are available in Ailong Ke’s Laboratory at Yale University, New Haven, USA. The Ke lab applies cutting-edge biochemical and biophysical tools to understand molecular