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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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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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scienceYears of Research Experience1 - 4 Research FieldMathematicsYears of Research Experience1 - 4 Additional Information Eligibility criteria Profile: Doctorate in Computer Science or Image and Signal
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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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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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electrical engineering, biomedical engineering, computer science, medical physics, neuroscience, or a related field. While this is the preferred background, highly qualified candidates from other scientific
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on Earth. We have computational capabilities that are designed to process millions of tasks in parallel, allowing the entire body to function under extremely variable conditions. Our organ of vision
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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
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translatable novel cell-targeted nanotechnologies for target-specific drug/gene delivery and imaging applications to help diagnose and treat unmet medical problems in the areas of brain and eye diseases, and
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ranging from polymer chemistry and organic/functional synthesis to advanced materials science, the study of contaminant-surface interaction at the molecular level, and filtration prototype validation in