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to self-supervised learning, medical imaging, and population-level phenotyping. About You You will have or be close to the completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or
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medical images and clinical text. The primary focus of this role is to develop foundation models that can be applied downstream to clinical triaging tasks—helping prioritise cases based on MRI imaging data
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
radiologists involved in the projects. Training and research environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision
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corresponding radiology reports during training to build comprehensive representations that capture the rich, complementary information contained in medical images and clinical text. The primary focus
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. The position concerns research in the above-mentioned projects. Requirements PhD degree in Medical Image Processing or a foreign degree equivalent to a PhD degree in Medical Image Processing. The degree needs
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completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or Medical Image Analysis) and possess sufficient specialist knowledge in medical imaging—particularly whole-body and abdominal MRI
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medical knowledge and deliver excellent care to patients from across the Netherlands and beyond. The Department of Nuclear Medicine and Molecular Imaging at the University Medical Center Groningen (UMCG) is
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environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision, radiomics and deep learning approaches. The team has a double
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work environment with social and psychological safety. What you bring PhD in neuroscience, biomedical sciences, psychology, medical imaging, epidemiology, or related field. Experience with clinical
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Cognitive Neuroscience (IMCN) Research Group in the Psychology Department is looking for a Postdoc that will combine MRI, microscopy and image processing to create 3D reconstructions of iron rich areas in