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SPECIFICS Postdoctoral Scholar of Machine Learning and Statistical Genomics Description: The Department of Public Health Sciences is seeking a postdoctoral scholar. The overall goal is to: (1) develop and
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integrated into a collaborative network of faculty mentors based on research alignment. To learn more about faculty research, candidates are encouraged to visit: https://ed.psu.edu/academics/departments
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, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation
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status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 21 hours ago
access helps us provide an enriching learning environment for students, faculty and staff interested in the marine sciences. College Center for Marine Science - 306 College College/School Information
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Development Opportunities Click here to learn more about why you should work at USC. Quicklink for Posting https://uscjobs.sc.edu/postings/205144 EEO Statement The University of South Carolina does not
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Intelligence and Machine Learning. Join a team of scientists at the leading macromolecular crystallography beamlines and at the computing center and contribute to science projects at the interface between AI
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website: https://rwjms.rutgers.edu/research/inspire/home. Must take part in all of the research, writing and teaching training provided for INSPIRE IRACDA Fellows. Must take part in all of the research and
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opportunities to develop scientific independence, establish new research directions, collaborate across disciplines, mentor junior scientists, and acquire the skills and publication record necessary for the next
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the Principal Investigator (Dr. Shengli Zou). Conduct advanced computational chemistry research with a focus on nanophotonics, quantum mechanics, and machine learning–assisted modeling and simulations. Prepare