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Field
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focuses on developing next-generation secure communication frameworks that integrate quantum key distribution (QKD), advanced cryptographic methods, and semantic communication, supported by machine learning
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CNRS and the University of Montpellier, comprising 200 people distributed across 18 research groups, 9 common services (including 5 shared with other units on the CNRS campus), and 9 technological and
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of diversity in the hyper-diverse arthropod clade Coleoptera (beetles). Our research includes multidisciplinary approaches encompassing phylogenomics, morphology, ecological, and distributional data. The Insect
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ability to scale models using distributed computing environments. Excellent oral and written communication skills for effective collaboration across multiple teams. Commitment to embodying the core values
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Requisition Id 15281 Overview: We are seeking a Postdoctoral Research Associate who will focus on distributed sensing using optical fibers for maintenance and component health applications
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the area of Machine Learning for Engineering Design under the guidance of Prof. Mark Fuge, the Chair of Artificial Intelligence in Engineering Design. The general area of the laboratory covers the study of
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the distribution and conservation of species and biodiversity, agronomic production, carbon storage in plant biomass, and the conservation of ecosystems and their services. UMR AMAP is headquartered in Montpellier
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Number 101179122 Is the Job related to staff position within a Research Infrastructure? No Offer Description One of VHIO’s main missions is to train and inspire the next generation of leading cancer
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. You have experience in matrix algorithms, data compression, parallel computing, optimization of advanced applications on parallel and distributed systems. An excellent scientific track record proven
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for transmission or distribution grids, synchronous generators, large loads, transmission networks, etc. Develop simulation algorithms that enable large-scale simulations. Integrate (or co-simulate) grid component