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geometries. Current simulation-based approaches require complex 3D meshes and are often too slow for practical medical use. This project aims to create accurate and rapid surrogate models by combining physics
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Your Job: We are looking for a PhD student in machine learning to work within a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop 3D+t
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-based 3D microscopy” Where to apply Website https://reclutamento.dsi.infn.it Requirements Research FieldPhysicsEducation LevelMaster Degree or equivalent Specific Requirements Candidates must meet the
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candidate will undertake a range of activities, including: Contributing to a project investigating how 3D engineered microenvironments modulate stem cell behaviour in osteoarthritis, working under
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on applying computer vision, machine learning, and sensor fusion to automatically detect, classify, and localize defects, improving the scalability and reliability of building inspection. Research on 3D
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mandatory to use the FCT logo available at http://www.fct.pt/logotipos/ and, when applicable, the logos of the European Union and the Operational Programme, following the graphic standards available
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://humanshape.org/ https://mreed.umtri.umich.edu/mreed/ Responsibilities* Training: Complete a comprehensive on-site training program at the UMTRI facility in Ann Arbor to gain familiarity with research protocols
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. The successful applicant will use a variety of imaging and computational image analysis techniques to generate a 3D morphometric atlas of post-embryonic stages of otic development in the wild-type zebrafish, with