80 parallel-and-distributed-computing "Multiple" Postdoctoral positions at University of Minnesota
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Previous Job Job Title Post-Doctoral Associate - Computational Health Sciences Division Next Job Apply for Job Job ID 360487 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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Previous Job Job Title Post-Doctoral Associate - Computation (Hanany) Next Job Apply for Job Job ID 369600 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular
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of the observing program; studies to model and mitigate observational systematics; and delivery of high-level products. These efforts are intended to enable robust BAO and RSD measurements from Roman GRS data and to
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the REVEAL project, in which vagus nerve implant patients will be stimulated with various settings, and corresponding responses will be collected across body systems. Multiple types of computational and
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multiphase flow in porous media. 80% - Applying numerical and analytical infiltration models to quantify groundwater recharge potential under varying hydrogeologic conditions. In parallel, the researcher will
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for multiple open postdoctoral positions starting Fall Semester 2026. We seek candidates with a record of excellence in the mathematical sciences. Note that H-1B sponsorship may be provided to those who
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(SCSE) (https://scse.d.umn.edu/) at the University of Duluth (UMD) (https://www.d.umn.edu/) has funding available to support multiple McKnight Teaching Postdoctoral Fellows within the engineering and
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job An NIH-funded postdoctoral position is available for a two-year program in the laboratory of Brendan Dougherty within
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multiple opportunities to train graduate and undergraduate students, collaborate with other labs testing our GEVIs, and compete for early career fellowships. Consideration will also be given to exceptional
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of diversity in the hyper-diverse arthropod clade Coleoptera (beetles). Our research includes multidisciplinary approaches encompassing phylogenomics, morphology, ecological, and distributional data. The Insect