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to take the lead on a variety of research projects, as well as to contribute to teaching transportation engineering courses in the Department of Civil, Environmental, and Geo- Engineering. This person will
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. Qualifications Qualifications: PhD in Civil & Environmental Engineering, Hydrology, Geosciences, or a related field. Strong background in laboratory experimentation (microfluidics involving microbes, reactive
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of innovation, our diverse network of scholars and skilled engineers delivers groundbreaking solutions to the most pressing environmental science and engineering challenges, deepening our understanding
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with an expertise in dynamical systems, stochastic processes or network dynamics in the context of mathematical biology. Prior experience with mathematical/computational neuroscience and scientific
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• Skilled in single-cell/population data analysis (e.g., GLMs, decoding) Preferred Qualifications • Background in machine learning or computational modeling (Bayesian methods, neural networks, etc