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Regular Job Code 9546 Employee Class Add to My Favorite Jobs Email this Job About the Job The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking applications for up
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mathematical and computational techniques, it is essential to have experience in mathematical modelling / dynamical systems theory / numerical methods / coding. An ideal candidate would have a PhD, or
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probability, to work with others in the application of statistics to investigations in the natural and social sciences, and to teach probability and statistical theory and practice on the undergraduate and
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
of the subject (e.g. synthesis, characterization, or reaction studies) and/or methodology (e.g. experiments vs. theory). This position will be closely integrated with researchers and engineers who develop, support
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implementation science. We are now seeking an exceptional Research Fellow (Level B or C) to lead innovative methodological research in statistical theory for adaptive variants of longitudinal cluster randomised
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Previous Job Job Title Post-Doctoral Associate, Dr. Xue Feng Next Job Apply for Job Job ID 368957 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code
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) A PhD in a related discipline, and/or relevant work experience. Skills in programming or scripting, sufficient to develop or modify codes used for data analysis and for materials modelling
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, Economics, Mathematics, or a closely related discipline. Strong background in computational social choice, algorithmic game theory, or AI safety. Excellent research track record with publications in relevant
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to commencement of interviews. Analysis and Reporting: Assist in coding and analyzing qualitative data using software. Identify themes, patterns, and insights from data. Preparation of manuscripts and presentations
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. Qualifications PhD in Computer Science, Economics, Mathematics, or a closely related dis-cipline. Strong background in computational social choice, algorithmic game theory, or AI safety. Excellent research track