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, electrical engineering, etc. Prior experience in (1) image processing, particularly for radiographic and computed tomographic data as well as mesh-type data, and (2) machine learning, particularly deep
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description → Apply before 30/04/2026 (DD/MM/YYYY) 23:59 (Brussels Time) → Faculty of Medicine and Health Sciences
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University of California Riverside School of Medicine | Riverside, California | United States | 7 days ago
methods in our research, with the goal of developing new therapies. The laboratory is currently supported by multiple grants from NIH to support these projects. Learn more about our research program by
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. The selected candidate will join an interdisciplinary team, working closely with scientists in the Physics Department and BNL Computing and Data Science (CDS) to develop the application of cutting-edge
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 hours ago
Education & Experience: PhD in Computer Science, Visualization, Cartography, Geographic Information Science, or a closely related field. Strong background in visualization, computer graphics, or perceptual
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, Engineering, or a closely related discipline. You will be a materials or physical scientist with a strong track record in applying deep learning to computer vision problems, ideally within battery
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | 10 days ago
assessment of solid surface wettability). Advanced experience in digital image analysis. Specific Requirements An application. Completed and signed “Consent to the processing of personal data for the needs
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: PhD in CS/ML/medical informatics, strong publication record, and hands-on experience with generative models in medical imaging. Postdoctoral Research Associate (f/m/d) EU Research Project TWIN-X Full
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(ORNL). As a postdoctoral fellow, you will produce publishable results at a steady pace and work at the interface of neutron imaging, computational modeling, and workflow automation. Applicants with
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Institute is a centre for innovation in radiation therapy and medical imaging technologies. We create, share and apply scientific knowledge to improve health by building new technology for cancer imaging and