106 parallel-and-distributed-computing "Computer Vision Center" Postdoctoral positions at Michigan State University
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systems, including embedded and resource constrained systems with various heterogenous computing topologies Additional responsibilities include Assisting with development of GUI software tools to
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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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-engineering skills, including experience with Fortran and Python and, preferably, C or C++, APIs, dynamic-link libraries, version control, Linux environments, and high-performance computing. The candidate
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: Departmental Postdocs or Grant-funded Postdocs. Departmental Postdocs comprise the department Postdoctoral Fellows program. Postdoctoral Fellows contribute to the research and instructional mission of
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associated with the Quello Center for Media and Information Policy in the Department of Media and Information at Michigan State University. The Quello Center conducts research to inform media, communication
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positions, directly supported by TEMPEST, a new National Science Foundation Science and Technology Center, led by Prof. Michael S. Murillo at MSU: https://tempest-stc.msu.edu The successful candidates will
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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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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
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Fellows contribute to the research and instructional mission of our unit. These are academic year appointed positions. Grant-funded Postdocs support the research activities of currently funded external
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. CMSE centers around computational approaches, encompassing algorithm development, high-performance computing, scientific modeling, and data science. The department has an active research community