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using modern image analysis, statistical, computer vision, and machine learning approache The successful candidate will support image data management, maintain analysis software and repositories
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collaborate across disciplines and contribute to the instructional, research, and service missions of the Department of Computer Science, the AI Center of Excellence, and the university. Preferred
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering Leuven VIB Center for AI & Computational Biology Group Leader / PI Posted Date 12 Oct 2026
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-enabled solutions to improve diagnosis, procedural planning, and outcomes in aortic disease. The ideal candidate will combine deep technical expertise in AI delivery (computer vision, machine learning
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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 29 days ago
for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth
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Cancer Center at Illinois (CCIL). Successful candidates should have established a significant record of computer science research related to cancer biology and/or treatment, and will have achieved
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: Ongoing master's studies at TU Wien in the field of Geodesy and Geoinformation, Computer Vision/Image Processing, Computer Science, Physics, Mathematics or similar Good knowledge in computer vision
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29 Aug 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
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Computer Science & Engineering Location College Station, Texas Open Date 9/10/2026 Position ID 190999 Description The Department of Computer Science and Engineering, College of Engineering at Texas A
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: Academic Affairs College/School/MBU: College of Info & Computer Sci Department: Computer Science Work Location: Amherst Schedule: Full Time Work Arrangement: Onsite Job Summary The Manning College of