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positions in the area of Artificial Intelligence (AI) and Machine Learning (ML) in Drug Discovery. This is a unique cluster hire initiative spanning the College of Pharmacy, Life Sciences Institute (LSI), and
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The Center for Machine Learning Research (CMLR) is a newly founded interdisciplinary research center at Peking University. Its goal is to advance machine learning-related research across a wide
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The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an Assistant Professor of Machine Learning in Digital Health (salary group W1
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The Instructional Learning Designer supports the design, development, and implementation of K-16 STEMM curriculum that translates authentic St. Jude research into engaging, classroom-ready learning
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research and development in Swarm Intelligence and Machine Learning, addressing challenges in counter drone swarm formation and defense Design, develop and conduct experiments of drone swarms using both
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for managing smart cities. The team has gained substantial experience in machine learning for road traffic monitoring. They are now keen to thoroughly explore the additional opportunities presented by
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Assistant Professor Positions in University Science Education Research: Learning Environments, Ex...
University Science Education Research, with a particular focus on learning environments, experience and design. All positions contribute to research on how learning environments and experience shape student
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Computer Vision - Associate/Full Professor Tenured Mohamed bin Zayed University of Artificial Intelligence: Academic Appointments: School of Computing: Computer Vision Location Abu Dhabi, UAE Open
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
-disciplinary academic environment. Outstanding applicants in other closely related fields are also encouraged to apply. School of Electronic and Computer Engineering The School of Electronic and Computer
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human health. Within this mission, the Funke group is developing machine learning methods for automatic and semi-interactive analysis of biomedical image datasets, concretely: (1) semantic and instance