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vise à capturer et à échantillonner des distributions de données complexes et de grande dimension, jouant ainsi un rôle central en apprentissage automatique, en inférence bayésienne et en physique
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, ensuring security and stability of the distribution grid. The SAILING Doctoral Network aims to train 12 next generation scientists in creating an intelligent and automated energy management system powered by
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architecting and developing enterprise applications using modern .NET (Core/6/7+), RESTful APIs, microservices, and event‑driven architectures, with an emphasis on hybrid‑cloud and cloud‑native patterns
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(private networks), MOCN and network sharing, 5G NR core software, eSIM management and provisioning, neutral host Distributed Antenna Systems (DAS), small cells, Wi-Fi, IP routing/switching, time/sync
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selection of software, hardware, network, systems and various end user devices used in research environments within the Faculty of Medicine. As part of the Faculty of Medicine Digital Solutions Systems team
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This research activity focuses on the design and evaluation of network
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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installation, network cabling (including pulls and terminations), and safe power distribution and documentation for servers, network equipment, and lab research and teaching systems. The position supports a wide
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Cellular Core/Network Automation DevOps Engineer Senior to join our Infrastructure Engineering team. In this role, you will contribute to the design of advanced private and public cellular, RF, IP network
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taxonomique et génétique, la distribution spatio-temporelle et la spécificité d'hôte des Hippoboscidae d'oiseaux en France, ainsi qu'à analyser les agents pathogènes, microbiotes et endosymbiontes qu'elles