23 computational-material-science Postdoctoral positions at Pennsylvania State University
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the opportunity to work with faculty and students from physics, mathematics, and/or computer science. We are particularly interested in candidates with expertise in open quantum systems and at least one
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Institute (MRI) and the Institute of Computational and Data Sciences (ICDS). Ideal candidates will have experience in astroparticle physics and BSM phenomenology. Special consideration will be given
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: The Department of Agricultural and Biological Engineering in the College of Agricultural Sciences is seeking a Postdoctoral Scholar in environmental systems
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communication materials (fact sheets, policy briefs, op-eds, blog posts) tailored for non-academic and policy audience Organize panels, roundtables, or briefings for policymakers Outreach with partnering
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Time Adaptive Interventions. The post-doctoral scholar will explore many issues related to computer science, behavioral science, and stroke. For example, in the context of computer science, we
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College of Science is seeking a Postdoctoral Scholar beginning August 2025. The successful candidate will work with Professor John Harlim in the area of Applied and Computational Mathematics. The project
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focus and interest. Fellows will work directly on research projects of CGNE-affiliated faculty, pursue independent research activities in line with their developing program of research, and engage in
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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
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tools (e.g., light sheet fluorescent microscopy) and computational approaches to examine cellular resolution details in the whole mouse brain. Moreover, we use systems neuroscience approaches (e.g