41 parallel-processing "Computer Vision Center" Postdoctoral research jobs at Michigan State University
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troubleshooting. Strong Python skills are required for workflow automation, data processing, testing, and model orchestration. Familiarity with C or C++, APIs, dynamic-link libraries, version control, Linux
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Position Summary This position will be working with existing research staff and graduate students to research, develop, implement, and test novel signal processing and robotics software for applied
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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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, 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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may include rodent handling and husbandry, harvesting and culturing primary mouse neurons, Western blotting, DNA cloning, culturing of cell lines, fresh tissue processing, immunohistochemical staining
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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
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identity, national origin, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Electrical and Computer Engineering or related field Minimum Requirements Experience with HFSS
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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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lake biota and harmful algal blooms at the continental scale (funded by the National Science Foundation). This postdoc will be at the center of a new initiative turning 51 years of Michigan lake and
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with the Quello Center for Media and Information Policy in the Department of Media and Information and the Future of Work Initiative in the College of Social Sciences at Michigan State University. The