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Field
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, computer vision or machine learning or Documented Experience with 2D or 3D biomedical imaging, quantitative or multimodal biological datasets. Familiarity with biomaterials, tissue engineering, scaffolds
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with familiarity with foundation models (e.g. vision language models) and the ability to design and prototype innovative, reliable and reproducible solutions for complex 3D scene understanding tasks
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processing, computer vision or machine learning or Documented Experience with 2D or 3D biomedical imaging, quantitative or multimodal biological datasets. Familiarity with biomaterials, tissue engineering
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the opportunity to work at the interface of developmental biology, reproductive endocrinology, and cutting-edge spatial and 3D imaging technologies, within a collaborative, well-resourced research environment in
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description Next generation automotive imaging
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and/or single-cell nucleosome, methylation and transcriptome sequencing. The workflow will be adapted to 3D light-sheet microscopy and thick melanoma samples, addressing challenges linked to image
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Job description Next generation automotive imaging radars provide increasingly rich 3D information, opening the door to more advanced scene understanding and perception tasks such as 3D object
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procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop probabilistic digital twins of coronary arteries. The goal is to create patient-specific
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comparison of redundant 3D sensing modalities for robust perception in low-visibility environments; - Study system-level design choices to overcome the limitations of optical sensors in smoke, dust, fog, rain
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Are you passionate about advancing medical imaging and improving cardiovascular care? Join us in developing a revolutionary multi-aperture ultrasound platform that enables comprehensive 3D imaging