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infer excitation conditions and quantify the impact of fast, tenuous shocks on ionized line emission. In parallel, high-resolution 3D MHD simulations of fast shocks interacting with dense interstellar
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functions such as memory and object recognition, as well as consciousness and mental states. This research has several distinctive features: it employs a parallel approach involving human and non-human
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lake and river water levels. In parallel, socio-environmental signals on water-related extremes and pressures will be extracted using natural language processing and text-mining techniques, drawing
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a semi-industrial facility. In parallel, this PhD research will focus on investigating and optimising the process for removing arsenic from effluent, including through flocculation. Consequently
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IGE and internationally. A key feature of this institution is its access to high-performance computing infrastructure, which is essential for large-scale numerical simulations. Researchers on the OPERA
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computing hardware, in alignment with national quantum strategies, such as Canada's National Quantum Strategy. The recruited candidate will participate in a Franco-Canadian collaboration focused on the
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databases remains largely unexplored and represents a fascinating frontier for molecular computing. The development of new methods will be necessary to enable the manipulation of data within complex
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, BRGM and NBE. The recruited person will benefit from the unit's documentary, computing and software resources, as well as the computing facilities mobilised within the framework of the project, according
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, microelectronics, and artificial intelligence to develop high-performance memcapacitors and utilize them as artificial synapses for capacitive neuromorphic computing, enabling ultra-low-energy AI SCIENTIFIC
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consumption of microelectronic devices presents a major challenge, accounting for up to 50% of global electricity consumption by 2030. This situation is largely due to the Von Neumann computing