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About the role We are seeking an outstanding candidate to work in the Process Dynamics group to contribute to advanced research in AI-driven X-ray imaging for metal alloy solidification
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. We guarantee access to top-notch instrumentation and well-equipped laboratories. Responsibilities 1. Sample preparation 2. Measurements (DLS, FCS, Quantitative Imaging) 3. Data analysis 4. Reporting
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Synergy Programme and carried out in collaboration between Aarhus University, the Weizmann Institute of Science, and collaborators in Argentina. QuantuMRI aims to bridge quantum sensing and MRI to achieve
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computational resources of the IBIO imaging platform located in Pellegrin hospital. This position represents an excellent opportunity to broaden your experience in MRI imaging, preclinical experimentation, image
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(Raman, fluorescence), electron-based microscopy, X-ray-based imaging, diffraction and spectroscopy, micro-/millifluidic device design and operation, image/video analysis, bacteria cultivation and
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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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University of California Riverside School of Medicine | Riverside, California | United States | 6 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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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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. 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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Education & Experience: PhD in Computer Science, Visualization, Cartography, Geographic Information Science, or a closely related field. Strong background in visualization, computer graphics, or perceptual