35 computational-geometry-phd Postdoctoral positions at Pennsylvania State University
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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
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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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preferred. Successful applicants should have a recent PhD or MD degree and are expected to have a strong work ethic, excellent organizational and communication skills, and critical thinking abilities. Please
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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