35 parallel-computing-"Computer-Vision-Center" Fellowship 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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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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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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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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, biodiversity), U.S. agricultural and conservation policy, and / or Process-based ecosystem models and their outcomes Knowledge of statistical analysis, and experience using one or more statistical computing
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. The selected candidate will work with Dr. Yuzhen Lu to develop and test automated field-deployed sensing/harvesting systems that may integrate machine vision, artificial intelligence, and mechanisms for