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innovation. Our state-of-the-art facilities support advanced manufacturing processes involving biopolymers, bioplastics, and other functional materials. Through strong collaborations with industry and
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research program that works both within and at the boundaries of data science/econometric methods and the social sciences to discover, create, and disseminate new knowledge. The successful candidate will
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. - Strong proficiency in machine learning, optimization algorithms, and computational modeling applied to construction systems. - Experience with designing and conducting experimental studies to evaluate
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include in vitro neural differentiation, gene expression manipulation, metabolic assays, and mouse breeding and behavior. Knowledge in basic computer skills, record keeping and experience with data
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computational data analysis. With guidance and support from the supervisor, the postdoctoral associate is expected to lead a project within their scientific discipline and collaborate with other researchers