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and data analysis), synchrotron-based techniques, machine-learning and non-learning based approaches to data analysis, and familiarity with unconventional superconductivity. Responsibilities: • Perform
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will focus on the utilization of chemical and biological tools to interrogate bacterial communications both within and between bacterial species. Information about the lab can be found at https
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industry-sponsored capstone projects. With a versatile curriculum spanning software, systems design, nanofabrication, and machine learning, the program prepares graduates to drive progress in fields like
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) calculations, microkinetic modeling, and machine learning methods, and in developing machine learning interatomic potentials (MLIPs). Minimum Qualifications: Ph. D. in Physics, Materials Science, Chemistry
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also provide shared office space, and a laptop computer. Further information can be found at https://piirs.princeton.edu/funding-fellowships/piirs-postdoctoral-fellows . This position is subject to the
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the application of statistics and machine learning in social science. The position requires no teaching, though teaching opportunities may be provided if requested. When teaching, successful candidates will carry
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly skilled workforce
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at the University of California, Merced is seeking a postdoctoral scholar to work on an NIH-funded project (Project Number: R35GM163973) focused on biomolecular simulations and machine learning applications in
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://postdoc.wustl.edu/prospective-postdocs-2/ . Lab website: https://cruchagalab.wustl.edu/ . Research Projects: Plasma, CSF and Brain Proteomic analysis. Biomarker identification through the use of machine learning
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, genuine curiosity about leadership and organizations, and a collaborative spirit. Specifically, the ideal candidate has: A strong background in artificial intelligence, machine learning, computational