29 parallel-computing-numerical-methods Postdoctoral positions at Pennsylvania State University in computer-science
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a strong background in Biochemistry, Mathematics, and/or Mechanics (experimental and computational methods (use of OpenFOAM and/or COMSOL)) are welcome to apply. Experience in blood and animal
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science, or related computational approaches. Candidates must have experience developing or implementing machine learning methods for large-scale data analysis, predictive modeling, or biological discovery
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should have experience developing, implementing, or applying computational methods to large-scale biological datasets. Expertise in Python and/or R is expected. Experience with biological data processing
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methods, experience working with complex real-world datasets, and strong quantitative and analytical skills. This position offers opportunities to collaborate on interdisciplinary research projects, develop
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candidate, in collaboration with faculty at NCEMS, will conduct research in molecular biology by applying methods from physics, statistical mechanics, quantitative modeling, or related areas that synergize
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study AI-supported learning environments Contribute to design-based and mixed-methods research, including qualitative and case-based studies Support pilot studies and early-stage project development (e.g
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control is not viable. The program develops and validates diagnostics, vaccines, and surveillance tools intended for national deployment, working in close partnership with government, academic, and
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architectures comprised of coatings and bulk materials using a variety of manufacturing methods. Materials synthesis may include perovskite systems, composites, oxides, and mixed components for a variety of
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fabricating CPS using advanced manufacturing methods such as field-assisted sintering, laser processing, etc. Investigating CPS–liquid metal interactions through in-situ and ex-situ characterization techniques
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: Your role at the lab is to investigate the behavior of individual molecules and bio-molecular condensates in living cells. You will use and develop the imaging and computational methods that to visualize