68 parallel-computing-numerical-methods Postdoctoral positions at University of Minnesota
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computing (HPC) and parallel processing to enable the analysis of massive datasets. Experience in advanced statistical inference (e.g., Bayesian statistics, spectral methods) for extracting robust patterns
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not eligible for H-1B visa sponsorship. Duties/responsibilities: -performing high level experimental, theoretical, and numerical research and data analysis (55%) -presentation publication, and proposal
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, viscoelastic, and damage-informed formulations) under complex thermo-mechanical loading. Implementing and validating models using computational tools (e.g., numerical solvers, finite element frameworks
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experiments using methods created according to previously published methods or novel methods developed as needed • Analyze data collected from experiments, generate manuscript figures, write and edit
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with an expertise in dynamical systems, stochastic processes or network dynamics in the context of mathematical biology. Prior experience with mathematical/computational neuroscience and scientific
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sponsorship. *Duties/responsibilities: -performing high level experimental, theoretical, and numerical research and data analysis (55%) -presentation publication, and proposal preparation (20%) -mentoring PhD
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sponsorship. *Duties/responsibilities -performing high level experimental, theoretical, and numerical research and data analysis (55%) -presentation publication, and proposal preparation (20%) -mentoring PhD
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guidelines. For more information, see https://policy.umn.edu/hr/postdocappoint Responsibility • Lead innovative research on VLM/VLA methods and their applications in autonomous driving and ITS problem
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for presentation. Instruct students, fellows and other inexperienced professional persons in proper laboratory methods and procedures. Qualifications Required Qualifications: A Doctorate Degree (PhD, which is
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motivated individual with a background in decision analysis and simulation modeling methods who is interested in applying these tools to answer policy-relevant questions about eMTCT interventions. Our group