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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 3 months 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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developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will
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Completed PhD in a relevant field. Expertise in osteoarthritis research, supported by multiple publications and practical physiotherapy experience within the osteoarthritis specialty. Demonstrated experience
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the Job related to staff position within a Research Infrastructure? No Offer Description The position is in the Digital Signal Processing and Image Analysis (DSB) research group, Section for Machine
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Primary Purpose: Canada is developing three satellite instruments, TICFIRE (Thin Ice Cloud and Far InfraRed Emissions), ALI (Aerosol Limb Imager) and SHOW (Spatial Heterodyne Observations of Water
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of Cardiometabolic Medicine), Prof Paul Bannon (Cardiothoracic Surgeon and Professor of Cardiothoracic Surgery) and Dr Robert Hume (Lead of Translational Research). About you doctorate of PhD in a relevant field
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for part-time) or Level C - $152,695 - $176,065 per annum (pro rata for part time) Lead research to transform knowledge and clinical care of uveitis / Use cutting-edge corneal imaging / Cultivate
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is aimed at early career academics and innovators who are transitioning to, or establishing independence. Typically, successful fellows will have finished their PhD, published several lead-author
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will allow.) The role will be available for 36 months. About you Successful candidates must have a Postdoctoral qualification (PhD), (or be in the process of submitting a PhD) in Immunology or
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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