75 computer-science-programming-languages-"St"-"St" research jobs at University of Michigan
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Apply Now Job Summary Perform computational quantum chemical calculations on a variety of molecular systems. Collect and compile data in a format suitable for analysis and publication. The work is
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that machine learning applications are developed with ethical considerations in mind. Participate in regular meetings with the research group. Required Qualifications* Ph.D. in Electrical Engineering, Computer
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Assistant I (Temporary). This student will join the research team for the study sponsored by the National Institutes of Health (NIH) and work directly with a Public Health & Health Sciences faculty member
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Apply Now Job Summary Support instructional and research laboratory operations in chemistry, environmental science, and other physical sciences under the supervision of the Physical Sciences
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Apply Now Job Summary Support instructional and research laboratory operations within the Biological Sciences of the Department of Natural Sciences, under the supervision of the Biological Sciences
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Transportation Program, aimed at addressing power quality challenges in electric vehicle (EV) charging infrastructure. The selected candidate will contribute to the modeling, simulation, and prototyping
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. This is an advanced clinical training program beginning February 3, 2026, and ending February 2, 2027, with an opportunity to extend for a second year. The mission of this Post-MSW graduate training program
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/30929265/ ). This MIP Postdoctoral Scholars program has significant resources to promote professional development, skill-based workshops, and community networking events. The program also provides
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Apply Now How to Apply Applicants must submit TWO separate applications: one to the President's Postdoctoral Fellowship Program (PPFP) site (http://presidentspostdoc.umich.edu/ppfp-application.php
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communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis. Knowledge of network science and/or complexity sciences