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and economy that respect people and their environment. We are looking for our future postdoctoral researcher in optimization for statistical learning to join the Image, Data, Signal (IDS) department
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the effects of these factors at the tissue level. The position will also involve simulating and optimizing complex models that integrate biological and physical data using advanced methods, such as physics
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quantification of pigments and binders. The work will include the generation of simulated spectral data based on physical models, the training and optimization of machine learning models, and their validation
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–activity relationships. Development and optimization of reaction conditions Optimization of photocatalytic protocols for selective reactions such as green hydrogen production or demethylation of biomass
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). The successful candidate will contribute to the development, optimization, and application of PET-CT imaging protocols for small animal models included in quantitative multi-imaging modalities. Responsibilities
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, Mesp1, E-cadherin, N-cadherin). • Mechanical analysis of tissues in collaboration with biophysicists from the team 3. Development and optimization of protocols • Generation of transgenic lines
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and the endoplasmic reticulum. The project will combine approaches in cell biology, biochemistry, and advanced imaging. The candidate will contribute to the development and optimization of experimental
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technical reports and publications Contribute to the dissemination of the works and project (visits, websites, conferences, journal) Project title: Reliable AI and Data Optimization Main supervisor: Prof
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scale, will be characterized in terms of their structural properties and chemical composition. This research is part of the international project (ANR-DFG) “OPTIMIC” involving French partners Dr. Dorian
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the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will contribute to the development and optimization of an experimental setup