36 phd-computational-intelligence Postdoctoral positions at Pennsylvania State University
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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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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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Scientific Machine Learning. The successful candidate will develop and deploy state-of-the-art SciML algorithms in high-performance computational physics codes. We accept applications from all candidates with
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. This position is intended to provide mutual support for the development of the Postdoctoral Scholar and their research program with opportunities for grant-writing and co-authorship of research articles, while
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in genome-wide computational experiments. We are part of the Center for Medical Genomics and the Center for Computational Biology and Bioinformatic s. We have strong links to Penn State College
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. Familiarity with a variety of HVAC system types and current ventilation/IAQ standards is required. Proficiency in computer simulation of building energy and/or indoor air quality is strongly preferred. (e.g
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: The Eberly College of Science, Department of Physics at The Pennsylvania State University is seeking to fill one postdoctoral scholar position in computational
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. The successful candidate will work with Prof. Zhiqiang Mao on a quantum materials research program focused on the discovery and synthesis of novel quantum materials, including magnetic topological materials and
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. The successful candidate will work with Prof. Yinming Shao on a quantum materials research program focused on the optical studies of novel quantum matter, including topological materials and magnetic
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particularly good fits for the program. While the RTP team primarily operates remotely, this role includes some required travel and in-person engagement to support relationship-building and policy engagement