88 computational "https:" "https:" "https:" "https:" Postdoctoral positions at University of Minnesota
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electrophysiological data sets. Trainees will also have opportunities for clinical exposure through our robust deep brain stimulation and movement disorders clinical research program. Candidates may refer to the below
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those areas. Successful candidates will demonstrate how their mathematical and computational work makes substantive contributions to advancing these fields. Applications are welcome from candidates
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Programs which houses UMTYMP - our program for mathematically talented Minnesota youth. Pay and Benefits Pay Range: $66,000 - $69,000 annually. Please visit the Benefits for Postdoctoral Candidates website
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, Duluth, and Saint Cloud. We sponsor five fellowship programs—sports medicine, hospice and palliative medicine, behavioral medicine, clinical informatics, and human sexuality— and offer continuing medical
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writing and speaking ability, strong mathematical background, computer programming experience. About the Department Neuroscience is the scientific study of the nervous system. It is an interdisciplinary
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. The successful candidate will use different computer programs and statistical tests to analyze the immune response in animals. Analysis of flow cytometry results will be done using FlowJo or Cyflogic programs and
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in condensed matter theory at FTPI and University of Minnesota About the Department School of Physics and Astronomy: https://cse.umn.edu/physics Pay and Benefits Pay Range: $62,232 - $66,000; depending
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fFellowship in Souples’ Sexual Health, to join a vibrant team of faculty and postdoctoral fellows for a two-year program beginning Fall 2027. We offer an opportunity for a clinical/research fellowship focused
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journals. Preferred Qualifications: ● Expertise in microbiome data processing and analysis (eg. amplicon and shotgun sequencing). ● Proficiency in high-performance computing and statistical programming
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with the team to conduct a small-scale experimental pilot of the study. The postdoc will be housed inside the Department of Computer Science & Engineering, in the GroupLens lab and collaborate with