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system using 3D medical imaging modalities (CT, MRI, PET) and explainable AI (XAI) techniques to support medical professionals in improving diagnostic accuracy, reducing workload, and enhancing patient
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Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | about 1 month ago
neuroscience or a related field. Experience with conducting research with families with children, applying coding schemes to interaction data, brain imaging analyses, and/or programming with MATLAB are desirable
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Scintillators for Advanced Detectors applications in the Imaging and Particle Identification fields” Where to apply Website https://reclutamento.dsi.infn.it Requirements Research FieldEngineering » Materials
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well as collaboration in the development of digital tools for rapid assessment of milk quality and an application for identifying cheese defects through image analysis. Finally, the scholarship holder will contribute
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a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop 3D+t image reconstruction methods in a cell microscopy setting using image sequences
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Midlands Graduate School Doctoral Training Partnership | Leicester, England | United Kingdom | about 1 month ago
life environments predict and interact with behaviour in this paradigm? Do these findings extend to target populations receiving support for addictive behaviour? The project will be supervised by Dr Emma
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well as medical imaging tools such as itk-SNAP, LinkEHR, 3D Slicer, and Fiji. - Experience working in multidisciplinary teams and European projects, with strong skills in coordinating multidisciplinary teams
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stratification. The research environment is highly collaborative and supportive, with opportunities to work closely with leading UK- and US-based experts in imaging genomics. About the research group, supervision
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2026-0025 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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relevant. The steps in the development of surrogate models are building data-driven models from medical imaging, extending them with physics-based approaches, and adapting existing physics-integrated neural