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analysis components and is part of a collaborative effort within the PEPR Cell-ID network. The successful candidate will be responsible for: ● Designing and implementing chromatin tracing experiments (Hi-M
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of materials. The main activities will include: – adapting the generative LegoXtal code to the design of MOF coordination polymers and porous materials by assembling elementary molecular bricks in the generation
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modeling with deep learning for the analysis of hyperspectral imaging data. The researcher will be responsible for the design and development of numerical models, including neural network architectures
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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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. 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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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and
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teams, one of which focuses on solar-terrestrial relations and space plasmas (https://www.lpc2e.cnrs.fr/en/plasmas-spatiaux-2 ). The laboratory has strong expertise in space instrumentation, from design
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, 024047 (2025); arXiv:2503.23593 (2025) - Design and lead quantum optics experiments based on the resonant excitation and coherent optical pumping of artificial atoms (semiconductor quantum dots
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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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on the development of advanced artificial intelligence and machine learning methods for genome interpretation, with a particular emphasis on modeling the relationship between genetic variation and phenotypic outcomes