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Assistant/Associate Professor of Practice in Human-AI Interaction, Machine Learning, and Data Design
that are applied within industry and socio-cultural contexts and result in partnerships, projects, publications, patents, contracts, and awards. Candidates should hold a PhD in computer science, engineering, or a
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
or equivalent experience in machine learning or a related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be
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neurophysiology—specifically in biological sciences, medical biology, medical sciences, health sciences, physical culture sciences, biomedical engineering, or psychology; certificate of student or doctoral student
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: Have or be about to obtain a PhD in a relevant discipline (e.g., MEMS sensors, microengineering, mechanical engineering, electrical engineering, applied physics, or related field). Recent and relevant
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specific admission requirements for third-cycle programme in Physics, if they: completed at least 45 second-cycle credits in physics, engineering physics or an associated field, or has a second cycle degree
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
Programs Team. This 11-month position provides the ideal candidate with unique opportunities to gain experience in science program execution and coordination. The Science Education Specialist will deliver
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FieldBiological sciencesEducation LevelMaster Degree or equivalent Skills/Qualifications Education and qualifications: Required: Hold a master’s degree in bioinformatics, computational biology, genomics, data
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3 Sep 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Chemical engineering Engineering » Other Researcher Profile First Stage
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the results. You will work in an interdisciplinary team with several other research groups in Germany and abroad. Your Profile Completed PhD studies in physics, materials science or similar Excellent knowledge
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knowledge for a better world. You can find more information about working at NTNU and the application process here . About the position Fundamental research in the cross section between computer science