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to guide the selection of optimal functionalization strategies. Simulating gas adsorption (CO, O₂, H₂, NOₓ, etc.) on ND surfaces to predict binding configurations and IR spectral signatures, enabling
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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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). 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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), led by SNCF. The project aims to develop a methodology and tools for anticipation, spatial optimization, and support of SERMs (Metropolitan Regional Express Services) in French regions. This project is
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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
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epidemic data, with the aim to increase our understanding of how pathogens spread in populations, assess the impact of interventions, support policy making and optimize control strategies. Our approach is
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group (depending on the profile, materials under pressure, MOF coordination polymer design, multi-objective optimization Tc/HEDM/reactivity, etc.). - Calculating the electronic structures