565 Computer-Science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "https:" Postdoctoral positions
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subsequent PhD in computer science (or a related field). Rich experience in devising machine learning models, methods, and algorithms for computer vision, image processing, imaging, and/or physics
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Education and the Department of Computer Science. It is not a requirement to be able to teach in Danish. UCPH has an International Staff Mobility office that assists international scholars with their
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Institute (PQSEI). More information is available at https://quantum.research.purdue.edu . Education The qualified candidate would have a PhD in computer science, applied mathematics, or a related field
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and Artificial Intelligence (RAI) ( https://www.fieldrobotics.eu/ ) based at Department of Computer Science, Electrical and Space Engineering as part of the national research program WASP. Wallenberg
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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 14 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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present at conferences Collaborate with cardiac surgeons, imaging scientists, and computer-vision faculty. Qualifications PhD (or equivalent) in Computer Science, Applied Math, or related field
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the job. Qualifications Minimum Qualifications PhD in psychology, cognitive science, human factors, industrial engineering, nonlinear dynamics, computer science, or a related field. Desired
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. Applicants should have a doctoral degree in epidemiology, biostatistics, computer science, engineering, environmental health sciences, social and behavioral sciences, health policy, medicine, or other
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learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary The Department of Computer Science and
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Mathjobs.org | 19 days ago
Position Overview: Successful candidates will join Roy Lederman's research group, which is affiliated with the Department of Statistics and Data Science (S&DS) and the Quantitative Biology Institute