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researchers and industry partners to advance the project goals. Qualifications: PhD in Civil Engineering, Structural Engineering, Mechanical Engineering, Architectural Engineering, or a related field, with a
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. Minimum Requirements: Education & Experience: Graduate degree (Masters/PhD) in Computer Science, Engineering, Mathematics, Statistics, or similar disciplines and seven or more years of professional
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and deploying an effective program strategy. MINIMUM QUALIFICATIONS Required Qualifications: Education: Master’s degree or PhD in a relevant field (computer science, statistics, mathematics, analytics
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. Qualifications: Education & Experience: Advanced degree (MSc/PhD) in Computer Science, Engineering, Applied and Computational Mathematics, Statistics, or a related field, complemented by at least ten years of
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industry sectors. Qualifications: Education & Experience: Advanced degree (MSc/PhD) in Computer Science, Engineering, Applied and Computational Mathematics, Statistics, or a related field, complemented by
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. QUALIFICATIONS Education and Experience Required: B.S. in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Preferred: M.S. or PhD in these fields or equivalent industry
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Engineering, Chemical Engineering, Chemistry, or closely related field. Preferred: PhD Expertise in thin/thick film, bulk materials/ceramics, and powders fabrication over multiple spatial scales (from nano
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candidates with recently-awarded PhD, EdD, or related doctoral degrees (2021 or later) in the humanities and social sciences, as well as applicants with degrees in the natural sciences, business, engineering
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of technology and want to be part of a unique community that works on high-impact business and societal problems Summary: This position supports the Institute in delivering data science and AI projects and
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into exploring and modeling the effects of heterogeneous behavioral patterns and structural social disparities on disease dynamics. The appointed candidate will be instrumental in offering insights