52 phd-computational-linguistic Postdoctoral positions at Pennsylvania State University
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: We are searching for a multi-phase combustion computational fluid dynamics (CFD) Post-doctoral Scholar to join our Technology Concepts and Modeling Department
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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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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 efforts. The ability
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: The Department of Physics at Penn State is seeking to hire a Postdoctoral Scholar. This individual will work with Dr. Reka Albert on performing computational
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Pennsylvania State University, Department of Statistics Position ID: PSU -POSTDOC7 [#26574] Position Title: Position Type: Postdoctoral Position Location: State College, Pennsylvania 16802, United States of America [map ] Subject Area: Statistics Appl Deadline: (posted 2025/04/29, listed until...
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, computer science, bioinformatics, or other related disciplines is required. Strong interest, research background and experience in the methodology research in statistical genomics, machine/deep learning