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of electrical topologies (AC, DC, three-phase) and will integrate both standard and atypical wear cases. On this basis, high-performance artificial intelligence models will be developed. By combining neural
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(OTFTs) provide advantages in terms of low-cost fabrication and compatibility with flexible substrates. However, their commercial integration remains limited due to insufficient performance and stability
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of the process involved in transitioning from basic to pre-clinical research. • Research training periods in another consortium member's lab lasting from a few weeks up to three months, performed in a
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group, which has a long-standing experience in neutrino detection in the deep sea with the ANTARES and KM3NeT experiment, is currently responsible for the construction and the operation of the KM3NeT/ORCA
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tasks, particularly in environments that are difficult to access, such as high altitudes, space, or places with radiation exposure. To this aim, robots should be able to act and to interact with
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silicon-based solar cells. This success leads to significant research effort to understand the physical origins of their performance. Halide perovskites are also promising for spintronic applications
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. The LPS is a joint research unit of CNRS and Université Paris-Saclay. It carries out high-level research in the field of condensed matter physics. The LPS is organized into three main research areas
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to the team on national high-performance computers (e.g. Jean Zay @ IDRIS, ADASTRA @ CINES) to carry out numerical simulations. The doctoral student will be registered at the École Doctorale d'Astrophysique
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of THErmodynamic Cycles for a New Energy Approach). General context of ATHENA: Thermodynamic cycles (generator cycles, refrigeration cycles, heat pumps) are essential for the energy transition because they open up