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predictive modeling approaches to understand corrosion mechanisms and coolant/fuel chemistry in extreme conditions. The successful candidate will oversee corrosion-focused projects sponsored by industry and/or
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growth through applied experience in data processing, simulation, and computational methods. The role contributes to structured technical tasks such as dataset preparation, scenario modeling, and results
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, sustainable materials, or engineering to contribute to our ongoing research on improving the hygrothermal performance, structural modeling, and durability of CLT, including hybrid and thermally modified wood
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to support research efforts focused on animal models of chronic pain using a variety of techniques. The majority of time will be devoted to research efforts, with a smaller proportion of time devoted to lab
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athletics or professional sports organizations. Familiarity with ticketing systems, CRM tools, and revenue optimization models. Experience conducting statistical evaluations for team or player performance
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. The position involves research in modeling and simulation of within-host virus dynamics, theoretical immunology and multiscale immune-epidemiological models of infectious diseases and teaching two classes per
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play a central role in a multidisciplinary project aimed at engineering programmable CRISPRai and optogenetic control systems and developing predictive metabolic models for the oleaginous yeast Yarrowia
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start-up packages will be provided. Applicants with particular expertise and emphasis in cell and gene therapies whether using experimental laboratory approaches and/or computational modeling and
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of causal machine learning and optimal policy learning. • Proficiency in other languages such as Stata, and/or Python modeling languages. • Research experience using Python. • Experience working with large
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experience in OneNote. Prior experience with the Advancement model. Familiarity with project management tools. Prior experience working in a team-oriented environment. Proven editing and journalistic skills