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mathematics, statistics or closely related discipline. Required skills include a demonstrated experience with running numerical ocean, atmosphere, or coupled Earth system model, and/or data assimilation, and
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molecular tools, capsid architectural modeling, classical nucleation theory, molecular dynamics simulations, and protein expression. The ideal candidate will have a background in mathematical biology
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biological and quantitative techniques including microscopy, flow cytometry, computational/mathematical modeling, and utilizes approaches from synthetic biology and complex biological systems. Highly motivated
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clusters, cloud computing, or GPU acceleration. Strong mathematical background in linear algebra, probability, and statistics. Prior research experience with publications or preprints. The University
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biological and quantitative techniques including microscopy, flow cytometry, computational/mathematical modeling, and utilizes approaches from synthetic biology and complex biological systems. Highly motivated