66 computational-material-science Postdoctoral positions at Pennsylvania State University
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-classical approaches that combine advances in quantum computing and AI to accelerate scientific discovery and address complex challenges in areas such as materials science, chemistry, biology, healthcare, and
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SPECIFICS The Department of Materials Science and Engineering, in the College of Earth and Mineral Sciences is seeking a postdoctoral scholar. The final candidate will: o Develop phase-field models and
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collaborations with theoretical/computational efforts focused on materials growth. Requirements include: a Ph.D. in Materials Science and Engineering, Nanomaterials, Nanotechnology, or a related field by the time
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be based in the IST and will have opportunities to collaborate across Penn State, including with the Penn State Quantum Hub (https://quantum.psu.edu/ ), Institute for Computational and Data Sciences
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, testis development, germ cell biology, and male fertility. The laboratory employs integrative genomic and computational approaches in cattle and mouse models to investigate the molecular mechanisms
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SPECIFICS The Department of Mechanical Engineering at the Pennsylvania State University is seeking a Postdoctoral Scholar in the Electrochemical Engine Center (ECEC) in the field of large-scale computations
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, brain injury, and stroke, and develop DRCs for these populations. We seek a motivated researcher from rehabilitation science, implementation science, informatics, or health services research, interested
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concentrating on advanced batteries and fuel cells for vehicle electrification, renewable energy storage, and power grids Qualifications and Requirements: Ph.D. in Chemistry, Chemical Engineering, Materials
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through applied research and Extension. The program emphasizes practical problem-solving, stakeholder partnerships, and translation of science into actionable management strategies for the poultry industry
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Duties: Perform and analyze ReaxFF reactive molecular dynamics simulations on 2D-material growth Connect the results from these simulations to data science methods and Computational Fluid Dynamics Perform