20 postdoc-parallel-computing Postdoctoral research jobs at Michigan State University
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environments, and high-performance or parallel computing is desirable. The candidate will also prepare technical documentation, reports, peer-reviewed publications, and presentations and collaborate
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, dynamic-link libraries, SQL, Git or other version-control systems, Linux, high-performance computing, parallel computing, or automated testing Experience with watershed processes, groundwater-surface
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of the appointment. Preferred Qualifications: Candidates with strong backgrounds in kinetic equation, numerical analysis, scientific computing, PDE together with research experience in scientific
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analysis, scientific computing, PDE together with research experience in scientific machine learning, are particularly encouraged to apply. Required Application Materials Applications will be reviewed
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communities have adapted to decades of workplace automation in manufacturing and agriculture. Working across three case counties, the postdoc will conduct sustained observational fieldwork and interviews
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successful candidate will join the Bridge Lab to conduct data-intensive and collaborative lake and stream ecology research and translate results into action in partnership with communities. The postdoc
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scholars. Current MSU EEB graduate students and postdocs are eligible to apply; however, they should make clear in their application materials how the proposed Presidential Postdoc research plan would
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Position Summary The Waker lab at Michigan State University has a postdoc position available in a Department of Energy project using chlorophyll fluorescence and gas exchange in a novel experimental
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, agentic multi-modal data science for complex transport phenomena, in addition to forward/backward uncertainty quantification, numerical analysis, and high-performance computing. Equal Employment
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parallel projects will ensure the development of independent projects to support the long-term career goals of the applicant. Generally, the project will center around leveraging bacterial and mammalian