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, organization, and coordination of University events, including the annual Madhuri J. Sheth Symposium in Jain Studies. Required Qualifications Phd in hand in humanities or social science disciplines
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artificial intelligence, precision imaging, and interventional techniques. The University of Pittsburgh's research strengths and UPMC's clinical scale provide substantial resources for innovation in imaging
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the DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures
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therapeutics, wearables, artificial intelligence (AI) and machine learning (ML), public health surveillance systems, and virtual/augmented/extended reality. Health conditions of interest are also broad and may
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, especially the medical sciences; history of philosophy, especially German idealism; epistemology; ethics, including applied ethics; metaphysics; philosophy of technology, especially artificial intelligence and
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Dhabi, seeks to recruit a Senior Research Engineer to advance applied research in artificial intelligence and robotics. The successful applicant will contribute to cutting-edge research and development in
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in Computer Science / Artificial Intelligence or related discipline. Experience of working with sensors. Strong interest in carrying out innovative research in a health context. The successful
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technology. The department offers a robust curriculum at both undergraduate and graduate levels, supporting research and innovation in diverse subfields including artificial intelligence, data science, cybersecurity, and
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Computing. Knowledge area: Computer Science and Artificial Intelligence. Teaching profile: Fundamentals of Programming (Bachelor's Degree in Industrial Technologies Engineering, Bachelor's Degree in Chemical
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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
MED-ZSFG-CARD Full Time 87814BR Job Summary Zuckerberg San Francisco General Hospital and the Division of Cardiology is at the forefront of applying artificial intelligence and machine learning (AI