41 postdoc-computational-fluid-dynamics-2017 Fellowship positions at University of Michigan
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methods; Demonstrated working knowledge of geophysical and/or ecological processes related to climate change, water, coastal/riverine dynamics, and associated hazards; Demonstrated strong writing and oral
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one from your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published
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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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interests and qualifications. Job Summary The Research Center for Group Dynamics (RCGD) in the Institute for Social Research (ISR) at the University of Michigan invites applications for a full-time position
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of employment. Learn more about the work modes . Additional Information One-year postdoc with option to renew. Background Screening Michigan Medicine conducts background screening and pre-employment drug testing
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with Owen-Smith and other members of the IRIS team. Familiarity and demonstrated expertise with network and computational science methods, science of science research, creation and manipulation of large
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to facilitate a multifaceted Digital Scholarship Fellows program. This program, which will comprise student, faculty, and community fellows, will offer a way for the Digital Scholarship program to meet existing
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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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high level of professional expertise through familiarity with current scientific literature. As needed, develop innovative techniques and experimental systems to meet research program goals. Scientific
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environment. Successful candidates will be able to use electrophysiology, neuroimaging, chromatin biochemistry, functional genomics/informatics, and human 2D and 3D neuron models to explore the roles