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& Machine Learning not excluding other modeling frameworks) of safety critical socio-technical infrastructure systems. The candidate will be primarily responsible for writing and submitting refereed journal
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business and entrepreneurship, or applied econometrics. • Strong quantitative skills and experience with cutting-edge techniques in data science, econometrics and machine learning, especially in the areas
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Urban Design (MS) and the History and Theory of Architecture (MS/PhD). WAAC full-time faculty work with a small cadre of long-time adjunct faculty to educate the next generation of architects
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concentration in History, Theory and Criticism to teach both in our two research-based, non-professional graduate degrees in architecture, the Master of Science in Architecture program (M.S.Arch) and the Doctoral
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broad range of research areas. We are interested in an experimentalist who can develop large datasets in support of emerging artificial intelligence and machine learning driven advances in fluid dynamics
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Urban Design (MS) and the History and Theory of Architecture (MS/PhD). WAAC full-time and adjunct faculty enjoy working closely with active, dedicated colleagues and committed students to educate the next