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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
include a state-of-the-art spine and imaging center and a 22-bed neuroscience ICU. The department emphasizes team science, partnering with UNC Lineberger Comprehensive Cancer Center, Biomedical Research
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offer a PhD student position at the Universitat de Barcelona (as part of the PhD Program in Mathematics and Computer Science) to develop new AI and federated learning algorithms for diagnostic imaging in
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also include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a
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proper archiving protocols for processing and storing all acquired images related to procedures. Maintain patient confidentially and demonstrate exemplary customer service skills. Performs Quality Control
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-ray Imaging Crystal Spectrometer (XICS) on the JT-60SA tokamak, including its calibration, operation, tomographic integration, and data analysis. This advanced diagnostic capability will be applied
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9 Jan 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Civil engineering Researcher Profile First Stage Researcher (R1) Country
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of Washington faculty engage in research, teaching, and service. This faculty position would be expected to develop a research program in the areas of kidney imaging and tubular secretion, attend on the in- and
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National Institutes of Natural Sciences, National Institute for Physiological Sciences | Japan | 6 days ago
8 Jan 2026 Job Information Organisation/Company National Institutes of Natural Sciences, National Institute for Physiological Sciences Research Field Anthropology Ethics in health sciences Medical
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materials science, structural biology, chemistry and nanotechnology. NanoLund (http://www.nano.lu.se ), formerly known as the Nanometer Structure Consortium, founded in 1988, supports and coordinates
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engineering/M2) to have a solid background in applied mathematics, Machine/Deep Learning, in particular generative models (diffusion models, flow matching), as well as in statistical signal/image processing and