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-channel electrophysiology •Any prior work in mathematical models of decision-making •Prior work with psychiatric patient populations or the biological mechanisms of mental illness About the Department
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Physics / College of Letters & Science - Mathematical, Life, and Physical Sciences / UC Santa Barbara Position overview Salary range: A reasonable estimated full-time rate for this position at 100% time is
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testing experience can be valuable. Statistics and Mathematics: Machine learning (supervised and unsupervised) methodology and evaluation including discrimination vs. calibration measures and (hyper
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Requisition Id 14798 Overview: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an...
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, computer science, mathematics, or statistics or related field. The BarabásiLab is seeking motivated individuals with an interest in exploring complexity and its applications to food, art, science, and medicine from
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. Minimum Requirements • PhD in a quantitative field, including physics, neuroscience, mathematics, statistics, computer science, or related fields. • Strong quantitative background including at least some
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, mathematics, statistics, documentation, records management, data utilization, complex problem solving, critical thinking, resource management, and writing skills. Skills and abilities: This will vary based
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Group Apply now to Postdoc - UCSB Physics Department (Exoplanets)/Bowler Research Group Job #JPF02906 Physics / College of Letters & Science - Mathematical, Life, and Physical Sciences / UC Santa Barbara
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Apply now to Postdoc-UCSB Physics Dept. (Galaxy Evolution)/Casey Research Group Job #JPF02904 Physics / College of Letters & Science - Mathematical, Life, and Physical Sciences / UC Santa Barbara Position
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim