329 evolution "https:" "https:" "https:" "UNIVERSITY OF LUXEMBOURG" positions at CNRS
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coupled fibre rings. In this system, light evolves in discrete steps. This kind of evolution leads to nonlinear dynamics that are fundamentally distinct from those in standard photonic lattices, giving rise
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, engineers, PhD students, and postdoctoral fellows, at the interface between fundamental research, technological development, and experimental validation. Where to apply Website https://emploi.cnrs.fr/Offres
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. The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary results we have already obtained
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the framework of the PEPR Sous-Sol project ORGMET conducted by a consortium of four French laboratories GET, INEEL/ESRF, LFCR and IPREM (https://www.soussol-bien-commun.fr/fr/appel-projets-2024/orgmet
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) The overall following data and analyses of the different physical effects (orbital vs. Spin contribution) will be accompanied by the development of advanced theory/model/numerical simulations and possibly DFT
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to communicate effectively and work in a team. • Enthusiasm for studying virus evolution. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR9022-BENSTE-057/Default.aspx Work Location(s
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) is required. More generally, we are looking for an open-minded candidate with an interest in the ecology and evolution of emerging pathogens. Website for additional job details https://emploi.cnrs.fr
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conditions such as cancer, yet the underlying mechanisms remain poorly understood. Understanding how disruptions in these processes contribute to cancer development and cell fate decisions is a central
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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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, optimisation of chromatographic conditions, development of a comprehensive standards database) and will perform metabolomics studies in human, cellular and animal samples. He/She will contribute