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"Physiology of Neural Networks" team and will be in charge of a research project aimed at understanding the mechanisms of integration of cerebellar information in pyramidal cells and interneurons of the motor
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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | 18 days ago
, Inserm and CRNS, which gathers an international team of researchers, engineers, clinicians and students interested in studying brain networks, to shed light on information processing, its modulation by
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the recovery of monomers or high value-added chemicals from plastic waste. The Photo-Unlink project aims to prepare photodegradable vinyl-based polymer networks such as polystyrenes and polymethacrylates through
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currents on plankton diversification. (S)he will study the connectivity of water masses using a lagrangian approach and design a population genetic model on the connectivity network. - Lagragian
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2026 in one of the research laboratories affiliated to the FSMP . 10 positions provided. Length of the positions: 2 years. Net salary: 2650 euros/month. We are not accepting applications for this job
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Description Applications are invited for a postdoctoral position to study the neurocomputational mechanisms of information propagation in social networks. The Neuroeconomics group of Dr Jean-Claude Dreher
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Institut des Hautes Etudes Scientifiques | Bures sur Yvette, le de France | France | about 21 hours ago
on problems of interest to the Simons Collaboration on Probabilistic Paths to Quantum Field Theory, in particular on the tensor network renormalization group for statistical physics lattice models. We welcome
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 21 days ago
an industrial partner: RTE (Electricity Transmission Network). The participation of RTE, a key player in transmission systems, in the TASTING project represents a significant asset. As an associated partner, RTE
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on problems of interest to the Simons Collaboration on Probabilistic Paths to Quantum Field Theory, in particular on the tensor network renormalization group for statistical physics lattice models. We welcome
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sources and can host controllable spins for quantum memory and processing. Integrating spin and photonic properties enables efficient quantum networking through entanglement, while embedding these centres