982 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" Fellowship research jobs in United States
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Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi
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: 1116960 Position Summary Postdoctoral Research Associate – Neuroimmunology of Pain A postdoctoral position is available in the laboratory of Dr. Geoffroy Laumet (https://www.laumetpainlab.com/) in
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: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards . For more information about the Department of Government, please visit: https
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development. More information about the lab and specific research areas can be found at https://sites.harvard.edu/zheng/. We welcome applications from recent chemistry or chemical biology PhD graduates with
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design and discovery, including the use of artificial intelligence (AI) and machine learning (ML) techniques. The hired candidate will focus on computational aspects of immune repertoire analyses
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common CNAs found in breast cancer (https://pubmed.ncbi.nlm.nih.gov/39567747/). Several lines of evidence suggest that these CNAs increase cell fitness and that cells carrying these CNAs represent
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subject to a routine background check. Salary and benefits details are available here: https://www.hopkinsmedicine.org/som/offices/pda/policies.html Salary Range The referenced salary range represents
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scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities
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Postdoctoral Fellow in Neutrino Astrophysics Position in the School of Physics - Otte Research Group
Tech's https://hr.gatech.edu/careers/ . Please search for Job ID 295470 Applications and inquiries should be sent to: otte@gatech.edu Subject line: PDocSearch The initial appointment is for one year, with
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computational modeling, which is a collaboration between Dr. Brennan, and Dr. Edith Kaan at the University of Florida. The project description is available at: https://www.nsf.gov/awardsearch/showAward?AWD_ID