70 engineering-engineering-"https:" "https:" "https:" "https:" Postdoctoral positions at Pennsylvania State University
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SPECIFICS The research group of Dr. Onur Apul in the Department of Civil and Environmental Engineering at The Pennsylvania State University invites applications for two (2) Postdoctoral Scholar positions in
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SPECIFICS Dr. Luis Ayala, Head of the John and Willie Leone Family Department of Energy and Mineral Engineering, and Dr. Zuleima Karpyn, EMS Associate Dean for Graduate Education and Research, invite
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for research collaboration with Penn State faculty. The Postdoctoral Scholar position is fully funded by the Pennsylvania Commission on Sentencing (https://pcs.la.psu.edu ). The Commission on Sentencing is a
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, ). Biochemistry, cell biology, genetically engineered mouse models and patient-derived organoids / xenografts will be employed in the study. Successful applicants will be a highly motivated individual with a recent
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, 2019, Cell Reports, PMID: 31509745; Lin et al, 2019, EMBO Mol Med, PMID: 31633874, ). Biochemistry, cell biology, genetically engineered mouse models and patient-derived organoids / xenografts will be
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datasets. Excellent oral and written communication skills and the ability to work well in a collaborative research environment are essential. Applications must be submitted electronically at https
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software engineering skills are also required. Most importantly we are looking for a clear scientific leader with tremendous capacity to advance the field. This position has ample opportunity for mentoring
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to practice veterinary medicine in 1 or more US state(s). The start date for the residency will be July 1, 2026. Applications should be submitted to https://hr.psu.edu/careers and include a cover
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Behavior Clinic within the Department of Psychiatry and Behavioral Health (https://sites.psu.edu/abcresearchprogram/). This is a 1-2 year position depending on training needs. The post-doctoral scholar will
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, epidemiology or computer engineering discipline Strong software skills in at least one of the following: SAS (including macros and SQL), R, Python Experience managing large databases (preferably healthcare data