37 computational-materials Postdoctoral research jobs at Pennsylvania State University
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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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in genome-wide computational experiments. We are part of the Center for Medical Genomics and the Center for Computational Biology and Bioinformatic s. We have strong links to Penn State College
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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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of physics beyond the Standard Model, using analytical and computational approaches. The successful applicant will join Dr. Carlos Blanco's research group with significant academic freedom to pursue
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, identifying meaningful patterns, and translating findings into impactful publications. Application Instructions: Interested applicants should submit the following materials: Cover letter outlining your interest
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. Familiarity with a variety of HVAC system types and current ventilation/IAQ standards is required. Proficiency in computer simulation of building energy and/or indoor air quality is strongly preferred. (e.g
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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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and policy recommendations. Qualifications: A Ph.D. in computer science, information science, sociology, labor studies, political science, or a related field by start date, awarded within the last five
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: The Department of Physics at Penn State is seeking to hire a Postdoctoral Scholar. This individual will work with Dr. Reka Albert on performing computational
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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