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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
disease.The incumbent will also implement machine learning algorithms to analyze biological datasets. There will be frequent collaboration with bench scientists and clinicians in a highly collegial and
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that are critical to creating effective learning and work systems within engineering. The postdoctoral scholar will collaborate with Professor Alexandra Coso Strong to examine how institutions build capacity (e.g
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programs. To learn more about UofSC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all, some, or
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of the Office of Graduate Students and Postdoctoral Scholars, and overseeing long -term thesis/dissertation storage protocols. This individual will also conduct seminars and workshops on copyright information
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and free-energy calculations in explicit solvent. The postdoctoral researcher will employ machine-learning-accelerated methods throughout the workflow, contribute to the development of new computational
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work closely with I-CREWS researchers across the state. The position emphasizes developing, integrating, and applying modeling approaches—including machine learning (ML), hydrologic and energy systems
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mechanistic chemical biology research, the postdoctoral fellow will learn and gain experience in small molecule drug discovery from target validation, chemical probe discovery to preclinical mechanistic studies
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Primary Work Address: Dept. of Genetics, Boston, MA, 02115 Current HHMI Employees, click here to apply via your Workday account. About the Lab: The Walter Laboratory (https://walter.hms.harvard.edu
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communication skills. • Track record of conducting original research and publishing in peer-reviewed scientific journals. Preferred Qualifications • Experience in remote sensing or machine learning applications
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mathematical foundations of data science, machine learning and/or artificial intelligence. Preference will be given to candidates studying either the application of data science/ML/AI to problems in