106 parallel-computing-numerical-methods "Institute of Computer Science" Postdoctoral positions at Michigan State University
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Desired Qualifications Strong background in biomechanics, biomedical engineering, computational mechanics, or equivalent fields. Strong foundation in numerical methods, especially the finite element
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Position Summary The Topp Lab at Michigan State University is recruiting multiple postdoctoral researchers across complementary areas of root biology, phenomics, and translational crop science. The
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Department of Media and Information brings together faculty from diverse disciplines to advance research in human-computer interaction, human-robot interaction, rural computing, game studies and design
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Position Summary The Topp Lab at Michigan State University is recruiting multiple postdoctoral researchers across complementary areas of root biology, phenomics, and translational crop science. The
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, CST Numerical EM modeling with Matlab or equivalent software Experience with lab equipment such as VNA, signal generators and testing of radiating devices in anechoic chambers Required Application
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other institutions including the U.S. Department of Agriculture and several universities to improve upon existing remotely sensed data, develop new methods for detection of land management practices
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Position Summary The postdoctoral scholar will join a collaborative research team in the College of Natural Science and the CREATE for STEM Institute to support research on AI-assisted formative
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description of work/duties: Implementation of computational methods and workflows for a variety of tasks relevant to in silico modeling and drug discovery Development of tools for molecular
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independent faculty positions at research intensive universities in the United States. Our lab in the Institute of Quantitative Health Science and Engineering at Michigan State University offers a highly
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big-data lake ecology research using techniques from statistics and computer science (e.g., statistical modeling, machine learning, data mining). Knowledge of open science tools (e.g., Github, Zenodo