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6 Sep 2025 Job Information Organisation/Company CNRS Department PHysicochimie des Electrolytes et Nanosystèmes InterfaciauX Research Field Chemistry » Physical chemistry Chemistry » Computational
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 6 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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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 15 days ago
Post-doctoral Position In Medical Image Processing The Computer-Assisted Medical Interventions (CAMI) team at the TIMC laboratory (Grenoble, France) is seeking a highly motivated postdoctoral researcher
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objectives. For example, digital image processing tools, such as filtering or mathematical morphology, could be evaluated to extract structural elements of road edges from images. By combining spectral and/or
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internationally recognized expertise in skeletal tissue reconstruction and imaging, at the crossroads of biology, medicine, and engineering. Our team brings together orthopaedic surgeons, dentists, veterinarians
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content imaging, multi electrode array technology or reprogramming of somatic cells into pluripotency is necessary. Experience in computational image analysis and aging research is a strong plus. A
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Forming (CEMEF, Sophia Antipolis), and the Laboratory of Materials Science and Engineering (MATEIS, Lyon). The latter specializes in studying the relationships between materials, processes, and properties
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using the KM3NeT detectors • Data analysis from SVOM instruments as well as images from the COLIBRI telescope • Participation in KM3NeT shifts and service tasks (calibration, construction, processing), as
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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towards scalability and error correction, we are adopting a measurement-based computing paradigm. This model assumes that it is possible to generate light states in which a large number of photons