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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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statistically rigorous data analysis methods toward achieving them. - Combine both independent and collaborative work to optimize scientific impact. - Report on progress in journals and conferences, participate
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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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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will focus
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millifluidic environments by investigating the influence of select biopolymers and medium formulations on bacterial and nutrient transport. Fluidic layers will be designed to simulate relevant sediment grain
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, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling
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at CRHEA (CNRS / Université Côte d'Azur) is opening a two-year postdoctoral position starting in early 2026. CRHEA is an internationally recognized research laboratory with strong expertise in nanophotonics
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energy consumption. The demonstration of high-power energy recovery (exceeding 1 MW), particularly for high currents, remains a major challenge. It requires detailed simulations of beam dynamics o study
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to the construction of the detector at the LNGS. Data taking should start in 2029. The subject of this postdoctoral position, funded by the CNRS for two years, is to prepare the analysis of the first data in order to