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: This project is an interdisciplinary effort at the frontier between Biology (Genetics, Genomics), Bioinformatics, Artificial Intelligence (Neural Networks) and Statistics (LMMs). The aim is to join the
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networks (5G and WiFi 7 and their evolutions) in terms of architecture, protocols, and optimization. These networks benefit from new technologies and approaches, such as virtualization and AI, to make them
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Communications in vehicular networks
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economy that respect people and their environment. We are looking for a Post-doctoral fellow in wireless networks and system modeling. The LabSoC (System on Chip Team) at Télécom Paris is a research group
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physics is especially interesting due to the presence of exotic excitations, potentially non-Abelian. The TensQHE project aims to develop modern numerical tools based on tensor networks, within an open
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karstic networks and alluvial terraces lying on the top of the foothills. The work will be mainly based on already existing and new TCN dates in order to: (1) gain an overview of the oldest remaining
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 20 hours 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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Institut des Hautes Etudes Scientifiques | Bures sur Yvette, le de France | France | about 13 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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, photonic devices for communications, optical networks, and fiber sensors. SCIENTIFIC CONTEXT Optical fiber forms the backbone of the communication systems. The exponential increase in data traffic is putting
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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