86 parallel-computing-numerical-methods Postdoctoral positions at Pennsylvania State University
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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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Darbar in the Department of Medicine at Penn State College of Medicine is seeking a highly motivated Postdoctoral Scholar to join a cardiovascular research program focused on the molecular and cellular
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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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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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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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members with expertise in mechanical engineering, fluid dynamics, electrical engineering, and biomaterials. In addition, there are 9 full-time staff members specializing in computational methods, in vitro
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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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SPECIFICS The Ferrari lab at Penn State is seeking up to two Postdoctoral Scholars to work on computational and mathematical models of surveillance to guide vaccination programs to achieve and maintain