52 phd-mathematical-modelling Postdoctoral positions at Pennsylvania State University
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a Ph.D. in computer science, engineering, mathematics, or other related fields. Successful candidates must have Ph.D. or terminal degree prior to beginning employment at Penn State. This appointment
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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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. JOB DESCRIPTION AND POSITION REQUIREMENTS: We are searching for a multi-phase combustion computational fluid dynamics (CFD) Post-doctoral Scholar to join our Technology Concepts and Modeling Department
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experimental, modeling, and analysis tasks to evaluate the utility of laser welding models for development, transfer, and process monitoring, and control. The successful candidate will provide materials
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cytometry General lab management and accurate documentation and maintenance of data files Animal handling and SQ, IP injection, oral gavage, intravenous injection Required Qualifications: PhD – biochemistry
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policymakers. This exciting opportunity would support an embedded policy fellowship placement to train a Postdoctoral Scholar in the implementation and evaluation of research translation models, such as the
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refereed journals. This is a term position funded for one year from date of hire with a good possibility of re-funding. Education and Experience: Applicants must have a PhD in Plant Biology, Molecular
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peer-reviewed journals Hands-on experience with mammalian cell culture, rodent models, and standard molecular/cell biology techniques (e.g., Western blot, PCR, transfection, construct design, shRNA
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in statistical network modeling, with applications in health and social science data. The scholar will have an opportunity to collaborate with other researchers, and mentor graduate and undergraduate
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will have a PhD in nutrition, public health, human development and family studies, psychology, or a related field. We are especially interested in candidates with strong quantitative and analytical