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-MalmaisonPostal Code92852Street1 et 4 avenue de Bois PréauGeofield Contact City Rueil-Malmaison Website http://www.ifpenergiesnouvelles.com/ Street 4 avenue de Bois-Préau Postal Code 92852 STATUS: EXPIRED X
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will be involved in the development of MKID detectors. Close interaction with the teams involved in the AMINO project is also necessary in order to properly define the algorithms required for data
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: Evolution of fluid transport properties and element (Li, Sb) mobilisation in hot and supercritical systems. Doctoral Candidate (DC) Number: 06 Work Package Number: 3 Research Field(s) (EURAXESS classification
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 5 hours ago
collaboration with the Berger-Levrault company. The candidate will be encouraged to propose analysis tools for developers and engineers, which can be included directly in the software development environment
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part of the research theme 'Planets and Moons', and will be integrated within the ERC - IceFloods (https://lpg-umr6112.fr/en/erc-icefloods/ ). This thesis will aim to characterize the contribution of ice
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)materials: Self-Assembly of Peptides and Polymers (IRIS) team at the ICS. He/she will be depending from the ED222 doctoral school. For more information, please visit the website: https://www.ics
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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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of nonlinear phenomena in a unique lattice of 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
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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