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Field
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We are seeking a full-time Postdoctoral Research Assistant in Cerebrovascular Imaging to join the research group of Prof Thomas Okell at the Podium Institute for Sports Medicine and Technology
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, School of Clinical Medicine, is seeking a highly motivated and talented researcher to join our multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on
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project researchers You will report to the Head of Department. Your competences You have academic qualifications at PhD level, for example within the following areas: Medical imaging, biomedical engineering
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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integrates molecular, imaging, and neurophysiological approaches to understand neurodevelopmental disorders, with particular focus on perineuronal nets and their role in seizure susceptibility. This position
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(but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. Experience in deep learning, machine learning and medical imaging processing Programming
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analyses. The Paris Brain Institute provides access to cutting-edge imaging, electrophysiology, behavioral platforms, and a vibrant collaborative neuroscience ecosystem in central Paris. Key responsibilities
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multimodal vision-language models for prompt-based 3D medical image segmentation Work with large-scale clinical CT datasets and scalable deep learning pipelines Validate models in close collaboration with
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or Biomedical Engineering or a closely related field. Preferred Qualifications: PhD in medical applications of physical sciences and engineering. Experience in medical imaging, breast x-ray imaging, image
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or Biomedical Engineering or a closely related field. Preferred Qualifications: PhD in medical applications of physical sciences and engineering. Experience in medical imaging, breast x-ray imaging, image