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bench (optical, electronic and mechanical) and multiphysics analysis using high-performance on-site instruments (optical spectrum analyzer, 3D intensity profile, wavefront, RF spectrum, field polarization
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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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to present their work. The doctoral student will benefit from privileged access to the THEMIS instrument, as well as machine time allocated to the team on national high-performance computers (e.g. Jean Zay
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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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live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied to optimization problems with possible topics covering: Variational quantum
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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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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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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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energy security are driving an urgent transition away from fossil fuels. Yet, many industrial and transport applications still rely on combustion due to their need for high energy densities and
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techniques. The PhD student will perform research at the ISM - Institut des Sciences Moléculaires, in the group NEO - Nanostructures Organiques, and will be supervised by Pr. André Del Guerzo. The Doctoral