24 computational-material-science Postdoctoral positions at Pennsylvania State University
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Decisions Lab at Penn State Architectural Engineering, and will work closely with the PIs, team members, and industry to develop and evaluate new HVAC system designs and control strategies to mitigate
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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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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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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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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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, 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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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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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