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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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and Applications (CCMA). Successful candidates will engage in research in all or any of the areas of scientific computing, data science, and quantum information science. Appointed candidates will
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Professor Alberto Bressan in the areas of hyperbolic conservation laws and geometric optimization problems. These include: well-posedness, convergence and error estimates for approximate solutions, analysis
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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Ph.D. and have exceptional research potential. Teaching may be required. Qualified candidates are expected to have a background in scientific machine learning, numerical analysis, and dynamical systems
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are focused on Systems Biology, Epigenetic Gene Regulation, Single-Cell Genomics and Cancer Biology. Responsibilities for this position include data analysis, method development, scholarly activities and other