54 parallel-and-distributed-computing-phd Postdoctoral positions at Pennsylvania State University
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to the researcher’s career goals. Applicants must have a PhD in rural sociology, sociology, geography, or a related field, with experience in mixed-methods social science research in rural settings, including
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for Multimessenger Astrophysics , which includes members of several experiments, such as LIGO, the IceCube Neutrino Observatory, and the HAWC TeV gamma-ray detector. Education and Experience A PhD in Physics
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SPECIFICS Postdoctoral Researcher in Defect Modeling The Pennsylvania State University Department of Nuclear Engineering The Computational Nuclear Materials Group (https://sites.psu.edu/cnmg/ ) at Penn State
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relevant to our research program by the time employment starts. The individual should be self-motivated and is expected to lead their own individual projects, as well as contribute to collaborative research
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for publication in areas relevant to the department’s disciplinary and scholarly foci. The successful candidate should possess a PhD in Education Policy Studies and Leadership. The candidate must have demonstrated
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the College of Education, invites applications for a Teaching-Focused Post Doctoral (Post Doc) Scholar position with primary responsibilities in teaching in the Educational Psychology program within the areas
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physics research under my supervision on topics including quantum many-body physics and quantum statistical mechanics. The research is expected to be partly analytical and partly computational in nature
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learning preferred. Strong experimental and computational skills, with ability to work independently and contribute to collaborative research and publications. BACKGROUND CHECKS/CLEARANCES Employment with
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. • Rich opportunities will be available for innovative equipment and process development, advanced materials characterization and deep collaborations with theoretical/computational efforts focused
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, Robotics, Computer Vision, or related disciplines. Proven expertise and hands-on experience in one or more of the following areas: large language models (LLMs), end-to-end learning, AV localization