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well as performs diagnostic imaging studies under the direction/supervision of a radiologist. Assist with the education and training of new physicians. Assist radiologists and PhD's in developing new protocols and
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“science enabler” and project-driver focus. You will run and evolve our tissue clearing and light-sheet imaging pipeline, support and manage collaborations across SyNergy, and help translate data into robust
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. Our community is open and informal, with more than 7,000 students, 1,000 PhD students, and 1,400 staff members from all over the world. If you would like to learn more about the Faculty of Science and
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. About You The ideal candidate will have a PhD in a numerate field, be familiar with medical image analysis using deep learning methods, have experience with GitHub and relevant programming languages
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characterisation and heat-transfer measurements, and development of model-predictive control algorithms for dynamic charge–discharge operation. The postholder will support prototype fabrication, instrumentation
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requirement. A very good command of the English language, both written and spoken, is a key requirement. Experience in Federated Learning, Computer Vision, Image Analysis, Mathematics, and Mathematical
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The Laboratory of Cortical Information Processing | Vision to Action at NERF (www.nerf.be ) invites applications for a Postdoctoral Fellow or PhD Student to work on a new research project funded by
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, X-ray optics, UHV technology, and electron-ion coincidence imaging techniques. We are currently looking for a Staff Scientist in Attosecond soft X-ray Science Key Responsibilities: Support and
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on multiscale subsurface imaging using advanced geophysical imaging techniques and on investigating how subsurface structure, material composition, and geodynamic processes influence regional seismicity. Key
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variants, EfficientNet, ResNet, U-Net) Image processing and computer vision techniques Python programming and relevant libraries (e.g., OpenCV, NumPy, scikit-learn, Pandas, Matplotlib) Experience with