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Field
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imaging systems capable of penetrating fog, dust, and even certain solid materials. These systems will deliver detailed, high-resolution imaging in challenging conditions where conventional optical sensors
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reference architecture for data visiting. This paradigm enables algorithms to securely access and process data within the environments where it resides, supporting federated learning for training machine
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; stem cells; and surgery. A number of pivotal discoveries have been made in Nottingham with current research continuing to provide exciting data, improving our understanding of breast cancer and
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and image processing. Prior experience with data fusion, machine learning, or super-resolution methods will be considered an asset. Candidates should be motivated to conduct independent scientific
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simultaneous stimulation of these processes increases aggregate clearance. This project will employ a combination of advanced cell biology, molecular biology, live-cell imaging, and proteomics approaches. Your
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imaging techniques (<3 months=5 points, 4-12months=10 points, >15 months=15 points) 15 5. Laboratory experience in C.elegans genetics. (<3 months=5 points, 4-12months=10 points, >15 months=15 points) 15 6
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and toolsets for engineering measurements relevant to clinical settings. The project will be supervised by experts in DIC (Hari Arora), surgery (Iain Whitaker) and wider biomaterials imaging research
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respect to battery performance, and study fundamental chemical processes and properties using both experimental and computational techniques. The research is, as such, both fundamental and applied. This PhD
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23 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire Image, Ville, Environnement Research Field Biological sciences Environmental science Researcher Profile First Stage
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specialized software for image processing and modelling. Additionally, the candidate should demonstrate an ability to work collaboratively within a research team, as well as effectively communicate