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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 25 days ago
multidisciplinary team involving image processing labs (e.g., CMAP) and French hospitals (e.g., CHU Kremlin-Bicêtre, Hôpital Foch, Institut Mutualiste Montsouris, Institut Gustave Roussy). Phase 1: Design and develop
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computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions. Key Responsibilities: Conduct advanced research in the areas
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during routine medical imaging. This reduces reliance on invasive biopsies and accelerates diagnostic processes. Beyond classification, the platform combines multimodal inputs to provide personalized
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School of Medicine Indianapolis Position Summary Postdoctoral Researcher to advance research at the intersection of artificial intelligence for healthcare, multimodal data analysis (EHRs, medical imaging
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internal organs. City of Hope is one of the few institutions in the country that offers clinical trials to treat cutaneous lymphomas. Dr. Querfeld leads a multidisciplinary team of experts, including medical
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the group's research on developing novel machine learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image
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the group's research on developing novel machine learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image
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of the post will involve synthesis and manufacture of prototype viral vectors, as well as testing their ability to treat experimental disease models, in vivo and in vitro. Other The advert will close on 05
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on the skills and experience of the candidate. We are interested in applicants with a PhD, with a strong research track record relative to opportunity, and with disciplinary expertise in public health
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich