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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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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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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | 7 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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dedicated learning opportunities. What you'll bring Essential A Ph.D. in Computer Science, Physics, Engineering, Biology, or related fields. Experience with machine learning. Experience with scientific python
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 hour 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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Full time fixed term for 2 years at Camperdown Campus Opportunity to Advance your research profile in a high‑performance photonics program Base Salary Level A, $89,831 to - $121,054 + 17
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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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Alpes University Hospital (CHUGA). The role involves a significant amount of computer-based work. Participation in certain patient recording sessions may be required, subject to clinical constraints
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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