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contribute to the ERC Advanced Project COGNIBRAINS, which aims at elucidating the neural mechanisms underlying simple and high-level forms of visual learning in the brain of bees, placed in a virtual reality
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in the field of medical imaging. The team particularly studies the potential of machine learning methods for an efficient and relevant representation of medical data such as images. The challenges
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of various complexities by electrochemistry coupled with infrared spectroscopy or laser confocal microscopy; - the study of the pH, cations and ionomer distribution at the electrode-electrolyte inter-face of
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synthesis, and on the application of these innovative isotope labeling methods to relevant protein/RNA complexes. The position is funded by the European Research Council under the Advanced Grant project XXL
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Cité (in history and philosophy of science), or with École doctorale 280 of Université Panthéon-Sorbonne (in philosophy), depending on the subject of the dissertation. The student will receive a PhD
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Flows," for their potential in terms of domain adaptation (i.e., downscaling and super-resolution). b. Evaluation of base models or transfer learning: • Study recent advances in "foundation models
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design, and innovative computer architectures. Our research interests range from the study of fundamental phenomena to the design of new devices with potential for technological applications in information
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in biomedical electromagnetics cover a wide spectrum of fundamental and applied research spreading from multi-physics and multi-scale modelling to biomedical radars and advanced technologies for body
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- Marine Ecosystems, Animal Resources and Human Strategies in Ancient Mediterranean: Integrated Studies on Natural and Societal Resilience (2021-2026, PI T. Theodoropoulou, CEPAM-CNRS, Grant Agreement
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effort in the physical elaboration of cholesteric samples with complex twist by soft matter techniques, spectrophotometry, advanced optical microscopy and image analysis. The postdoctorate's work will be