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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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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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. 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
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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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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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, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries. Current simulation-based approaches require complex 3D meshes and are often too slow
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neck reconstruction. Propose new research projects to address gaps in the field. Oversee operation and maintenance of the lab’s 3D printer. Troubleshoot issues and manage printing material inventory
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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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-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