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emphasis on applied machine learning, artificial intelligence and experiential network addressing the business challenges in the industry. Instructional areas include, but are not limited to, analytics, with
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-Urbana Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position; however, all employment decisions will be made by a person. This position is
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that offers a range of undergraduate and graduate degrees in Computer Science, Software Engineering, and Artificial Intelligence, as well as supporting joint programs in Data Science and in
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Ludwig Princeton Branch, Princeton University | Princeton, New Jersey | United States | 3 months ago
until an excellent fit is found. The successful candidate will develop and apply computational approaches to biochemical datasets, with artificial intelligence/machine learning (AI/ML) being a major focus
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sensing, energy-efficient computing systems, artificial intelligence (AI), and machine learning (ML), which has resulted in many collaborations with industry and other research institutes. Most of our
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key interdisciplinary research clusters that represent our areas of strength and future ambition: - Community, Health and Wellbeing - Artificial Intelligence in Health Informatics
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background in neuroscience, biology, physics, biomedical sciences, computational science, applied mathematics, statistics, artificial intelligence, psychology, cognitive science, or engineering German
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that represent our areas of strength and future ambition: - Community, Health and Wellbeing - Artificial Intelligence in Health Informatics - Digital Innovation for Environmental and
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related research activities. Teaching: The appointee will play a central role in the daily operations of the Master of Arts in Artificial Intelligence and the Future (MAAIF), the Taught Postgraduate
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sedentary behavior, such as actigraphy, mobile tracking technology, passive monitoring, and artificial intelligence applications Elucidating mechanisms (e.g., systemic inflammation, gut microbiota, etc