42 moeling-and-simulation-post-doc Postdoctoral positions at Pennsylvania State University
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of forest-protecting bioeconomy value chains for tropical forests, as well as projects in bioproducts and bioprocessing in collaboration with industry. The post-doc will be working on a large team and will be
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. We value inclusion as a core strength and an essential element of our public service mission. Benefits for postdocs can be found on this link: https://hr.psu.edu/current-employee/benefits/post-doc
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migration. Support integration of defect models into existing TCAD or custom simulation platforms. Collaborate with experimental and atomistic modeling teams to inform model inputs and validate results
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: University Park, Pennsylvania 16802, United States of America [map ] Subject Areas: Physics / Astroparticle Physics , Theoretical Particle Physics Appl Deadline: none (posted 2024/11/25) Position Description
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/current-employee/benefits/post-doc-appts. CAMPUS SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988
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16802, United States of America [map ] Subject Area: Physics Appl Deadline: (posted 2024/12/11, listed until 2025/06/11) Position Description: Apply Position Description Job Title : Department of Physics
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: The Stroke Outcome Research team at Pennsylvania State University, Neurology Department in Hershey, PA, offers a post-doctoral position. This is a full-time
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presentation at conferences and manuscript preparation Specific criteria include: Recent MD or PhD (0 - 3 years) in a relevant biological science or bioengineering discipline Strong critical thinking skills
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, 2021, 12 (1): 1956. Doi: 10.1038/s41467-021-22095-2); Li et al., 2020. NAR, 48(6): 3119-3133. Candidates should have obtained a PhD or an MD/PhD degree in the fields of molecular biology, biochemistry
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IAQ. Designing and conducting energy, IAQ, and economic simulations of novel control systems. Aggregating, synthesizing, and interpreting HVAC system data from field sites. Developing data-driven models