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                , segmentation of ultrasound images, identification of intraplaque hemorrhage on MRIs, post-processing by ultrasound spectroscopy and imaging by ultrasound localization. You will join a dynamic team specialized in 
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                , distributions, and dynamics in metallic, oxide, and semiconducting systems. This project integrates high-throughput and in situ TEM experimentation with AI/ML-driven image analysis and computational modeling 
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                . The Sharma lab is developing rationally designed, smart, clinically translatable novel cell-targeted nanotechnologies for target-specific drug/gene delivery and imaging applications to help diagnose and 
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                18 Oct 2025 Job Information Organisation/Company CNRS Department Centre de Recherche et d'Enseignement des Géosciences de l'Environnement Research Field Chemistry » Biochemistry Physics » Biophysics 
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                to the project, uniting experts in battery technology and acoustic signal processing and machine learning. The goal is to harness advanced data science techniques to establish a novel paradigm for online non 
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                of Systems Biology and Biomedicine - in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing 
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                to manuscript preparation and dissemination of research findings. Qualifications Ph.D. in Engineering, Physics, Computer Science, Neuroscience, or a related discipline. Strong programming skills (Python, MATLAB 
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                The Biomedical and Astronomical Signal Processing (BASP ) laboratory at Heriot-Watt University Edinburgh (HWU ), headed by Professor Yves Wiaux, is recruiting a postdoctoral researcher in computational imaging 
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                learning and artificial intelligence Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under 
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                Image Analysis Group (DIAG) at Radboudumc. We develop, validate and deploy novel medical image analysis methods, usually based on the newest advances in machine learning with a focus on computer-aided