23 data-science "https:" "https:" "https:" "https:" "https:" positions at Pennsylvania State University
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), within the Institute for Computational and Data Sciences (ICDS) Quantum Hub, invites applications for several "C-TEQ Fellow” postdoctoral scholar positions. Start dates are flexible but can be
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proactive and creative candidate for a tenure-track faculty position in the Schreyer Business Library https://libraries.psu.edu/business . The candidate will serve as the subject specialist and
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collaboration for the optimization of social investments. The EIC is a research center and information hub for the science of using social science. We leverage our expertise in administrative data, program
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research in the department benefits from partnerships with Penn State’s Huck Institutes of the Life Sciences. The Huck Institutes supports interdisciplinary life science research through 11 core
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homeostasis in health and disease ( https://sites.psu.edu/nighot/ ). The lab is especially interested in the role of defective intestinal tight junction (TJ) barrier in inflammatory bowel disease (IBD
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homeostasis in health and disease ( https://sites.psu.edu/nighot/ ). The lab is especially interested in the role of defective intestinal tight junction (TJ) barrier in inflammatory bowel disease (IBD
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SPECIFICS The Department of Geography at The Pennsylvania State University, University Park, invites applications for a new full-time, non-tenure line faculty position focused on spatial data science at
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. POSITION SPECIFICS Penn State's interdisciplinary Center for Theory of Emergent Quantum Matter (C-TEQ) , part of the Institute for Computational and Data Sciences (ICDS) Quantum Hub , invites
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: (1) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical models to analyze EHR data
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: (1) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical models to analyze EHR data