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for Nanoscience & Nanotechnology, has developed a strong expertise in harnessing light-matter interaction at the most fundamental level. We develop crucial resources for optical quantum technologies, including high
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Shell Model with Continuum and its extensions to construct high-fidelity microscopic optical potentials, designed for use in few-body reaction formalisms, in particular Faddeev-type calculations targeting
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biofluids, tissues and faeces hydrophilic interaction (HILIC) and reverse phase (C18) chromatographies and high-resolution mass spectrometry • Development of targeted isotopic quantification methods
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Perform immunostains on tumor sections. The CNRS (National Center for Scientific Research), which holds the HR Excellence in Research designation, is one of the world's leading public multidisciplinary
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. Interactions with interdisciplinary teams will be encouraged to integrate biophysical and quantitative approaches. The candidate may also contribute to the supervision of students and trainees involved in
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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform
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close synergy with partners. Activities: Design and synthesis of photocatalytic materials Development of semiconductor nanoparticles (sensitized or not with grafted dyes) and molecular systems
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thermodynamic and experimental conditions, parametrizing interatomic potentials, and incorporating substrate interactions to align with synthesis scenarios. The researcher will design and execute simulation
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virtual chemical library screening pipeline on a computing cluster (4,000 cores). - Develop protocols for aggregating, processing and filtering the data resulting from the pipeline. - Design an interactive
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this case, the external neutron source that maintains the reactor core thermal power is generated by the interaction of a high-intensity proton beam with a spallation target. However, the design, development