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candidate will have a strong background in biomedical imaging and/or neuroimaging, including domains of physiological/metabolic/molecular imaging, computational image processing, or imaging hardware and
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enhanced MRI with computer simulations of image contrast and mass spectrometric imaging of tissue samples and single cells. This project is part of the Collaborative Research Centre 1450 “Insight
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live in. Your role The PhD position is embedded within the MICRO-PATH Doctoral Training Programme, funded by the Luxembourg National Research Fund. MICRO-PATH, or Pathogenesis in the Age of
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to process and understand large experimental datasets (e.g., image processing) #analyzing experimental results; developing conceptual models and parameterizations #scientific publication and presentation
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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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the Laboratoire de biologie du développement de Villefranche sur Mer, enabling super-resolved 3D reconstruction. Candidate profile PhD degree in inverse problems in imaging, and/or diffusion model. Knowledge in
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live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied to optimization problems with possible topics covering: Variational quantum
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protocols for diverse model organisms, with general supervision. Perform hands-on bench research, including tissue preparation, sample processing, and microscopy imaging to generate high-quality datasets
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in image processing, quantitative analysis, and biological interpretation Proficiency in AI/machine learning tools for image segmentation, transformation, registration, or tracking Solid mathematical
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
respecting the specific constraints of emergency situations. Required Skills and Candidate Profile The project is intended for a candidate with: ➢ Skills in medical image processing and deep learning adapted