41 computer-programmer-"Multiple"-"U"-"Prof"-"O.P" "U.S" 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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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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. • 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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must be ready to conduct research involving the design of novel behavioral interventions, conduct human studies, and build computational models to implement existing behavioral paradigms such as Just In
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focusing on mobile health phenotyping and environmental influences. This position will be directly involved in a diverse range of participant, lab, and university-facing activities across multiple teams
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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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of physics beyond the Standard Model, using analytical and computational approaches. The successful applicant will join Dr. Carlos Blanco's research group with significant academic freedom to pursue
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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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: Your role at the lab is to investigate the behavior of individual molecules and bio-molecular condensates in living cells. You will use and develop the imaging and computational methods that to visualize
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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