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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
with assorted campus experiences to draw on, we hope you will find a great place at Carolina. Connections working at The University of North Carolina at Chapel Hill More Jobs from This Employer https
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: Requires a minimum of a Ph.D. or (ABD) in engineering, hydrology, computational sciences, systems modeling, applied mathematics, or a related field. Preferred Qualifications: Demonstrated expertise in
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
interdisciplinary expertise in more than one field (e.g., engineering and economics) is highly desirable. Candidates with experience in the insurance and/or financial sectors will be particularly well qualified
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The lab of Dr. Kendrick Kay (http://cvnlab.net) at the Center for Magnetic Resonance Research at the University of Minnesota
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and/or performance. Appointments include conducting research or project management under the direction of a faculty member. Examples of current and past projects can be found at http
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engineering across several departments throughout the university, including physics, electrical engineering, computer science, chemistry, and mechanical engineering. Research areas include foundational quantum
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Postdoctoral Associate, Computational – Yu Lab, Weill Institute for Cell and Molecular Biology A ComputationalPostdoctoral Associate position is available in the Yu Laboratory at Cornell University
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human patients. The applicant should have strong background in neuroscience and/or cell biology, biomedical engineering or computer science. The applicant should be able to perform small animal surgeries
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Posting Summary Logo Posting Number RTF00053PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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experience in computational and machine learning approaches for use in the quantitative measurement of human learning and its associated behaviors and motivational constructs. A strong applicant will hold Ph.D