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programs in Algorithms, Combinatorics, and Optimization (ACO), Computational Science and Engineering (CSE), Bioinformatics, Quantitative Bioscience (QBioS), and Machine Learning (ML@GT). Equal Employment
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cities. A lab within the Institute is seeking an Associate Research Scientist who will implement original machine learning methods for collective inference of the truth of propositions from crowd
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About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling, architectural history, technology, or project case studies
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of Engineering and university by being willing to stand for election to the Faculty Council, Academic Senate and/or other bodies. Qualification Candidates must hold a PhD in Computer Engineering or a closely
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/technology skills required, or possess the ability to easily obtain needed skills. (Microsoft Office, Canvas and/or other Learning Management Systems (LMS), variety of WEB based programs, etc.). Strong written
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Université de Technologie de Belfort-Montbéliard | Belfort, Franche Comte | France | about 2 months ago
intestinal duct section. To achieve this, we will address the inverse design problem using physics-informed machine learning that consists of determining the optimal structure and material distribution
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, beginning in the 2026-27 academic year. Qualifications Applications are invited from individuals who have earned a PhD (or equivalent) in Econometrics and Statistics and have experience on the tenure-track
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seminars featuring colleagues from all over the globe. We are currently looking for a dedicated PhD student to join our team. Find more information about the Strategic Management area and its members here
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in support of a significant Department of Defense program led by Dr. James Stone, MD, PhD. The Stone Lab studies repetitive low-level blast exposure in military service members over their career
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of artificial intelligence, machine learning, large language models, scientific AI and machine learning, data ethics and privacy, data visualization, societal impact of data and AI, safe and trustworthy AI, data