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and validate results alongside the INPHYNI team, which manages the Côte d'Azur quantum network. Design a decentralized deep neural network routing protocol using Deep Q-Networks (DQN) for q-datagram
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, the project aims to establish a foundation of fundamental knowledge that can inform sporting performance, technological innovation and strategic applications in cold environments. The ideal candidate will be
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). The MeCSE team is interested in the use of sustainable resources for the design of chemical products. The strategies implemented by the team aim to combine renewable electricity and abundant synthons in
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). The MeCSE team is interested in the use of sustainable resources for the design of chemical products. The strategies implemented by the team aim to combine renewable electricity and abundant synthons in
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. The materials will be synthesized using mild, low-energy and environmentally friendly chemical methods, combined with innovative flash thermal treatments to obtain the corresponding oxides. The materials will be
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within the Solid-state Quantum Technologies team (S2QT – https://solidstatequantumtech-l2c.fr/ ) of the Charles Coulomb Laboratory in Montpellier. The doctoral work will be supervised by Vincent Jacques
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at the Ministry of Higher Education, Research, and Innovation (MESR). As part of the shift in the energy mix toward a reduction in the share of fossil fuels, the development of new stationary energy storage systems
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d'Azur. The team is composed of computer scientists but has a strong interdisciplinary focus, particularly in linguistics, philosophy, sociology, and law. MARIANNE proposes innovative methods for natural
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD work will be carried out within the EMPRe team (https://dcm.univ-grenoble
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, psychology, movement science and signal processing. Main Responsibilities The PhD candidate will be involved in all stages of the research, from the design and implementation of the experiments to data