87 computer-programmer-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" Postdoctoral research jobs at Pennsylvania State University
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the MORE Lab offers a rare opportunity to help build a research program from the ground up. As a founding member, the postdoctoral scholar will play a central role in shaping the lab’s scientific direction
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applications for a Postdoctoral Scholar position to support and conduct independent research in the area of computational studies of flow in porous media at the pore scale. Applicants must hold a Ph.D. in an
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computer codes of mesoscale structure evolution. o Study the physics of structural, ferroelectric, electronic, and piezoelectric responses of mesoscale domain structures. o Assist writing proposals
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scheduled to receive, a Ph.D. in an area broadly relevant to our research program by the time employment starts. The individual should be highly self-motivated and is expected to lead their own individual
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, in collaboration with faculty and research staff at NCEMS, will conduct original research applying machine learning, artificial intelligence, computer science, statistical learning, or related
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the importance of this role in our research program. Essential job function: Design and implement research protocols; design safety procedures; adapt new procedures, methods or instrumentation related to research
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SPECIFICS Postdoctoral Scholar (Computational Biology) The National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) at Penn State University (ncems.psu.edu ) seeks an outstanding
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research involving quantitative, computational, theoretical, or data-driven approaches in molecular and cellular biology. Research may involve protein structure and function, molecular interactions
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their own research program in collaboration with, and in parallel to, Prof. Zanazzi. Penn State hosts a vibrant community of scientists working on many aspects of exoplanetary astrophysics, including
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seeking applications for a Postdoctoral Researcher position in the field of computational land surface hydrology, with a focus on Foundation AI model pretraining and finetuning, geospatial data processing