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SPECIFICS The Beese Research Group in the Department of Materials Science and Engineering in the College of Earth and Mineral Sciences is looking for a postdoctoral hire. The postdoc will work on experimental
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computational skills, including numerical methods and scientific programming (Python, MATLAB, C++, etc.). Effective communication and collaborative skills. Preferred Qualifications: Experience with wide-bandgap
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medicine program is a collaborative research effort that offers many opportunities for scientific interactions and advancement. Duties include (but are not limited to): Designing and executing experiments
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characterization of transition metal dichalcogenides and related two-dimensional (2D) materials. The postdoctoral position is part of the National Science Foundation funded 2D Crystal Consortium (2DCC) Materials
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mentoring of graduate students. The required qualifications are: PhD degree in Civil Engineering, Materials Science, Chemical Engineering, or related field Extensive research experience related to concrete
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journals. Presentation of research findings at scientific conferences and other meetings. Collaboration with clinical personnel, including neurosurgeons, neuropsychologists, epileptologists, and EEG
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scientific manuscripts, project reports, and conference presentations. This term position is funded for one year from the date of hire with the excellent possibility of renewal pending available funding and
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Scientific Machine Learning. The successful candidate will develop and deploy state-of-the-art SciML algorithms in high-performance computational physics codes. We accept applications from all candidates with
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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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of Medicine and computational biologists from the Galaxy team . Penn State is a vibrant scientific community with strengths in bioinformatics, computational genomics, statistics, molecular evolution, and