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, laboratory meetings, as well as at workshops and conferences covering the various aspects of the thesis: high-performance computing, numerical methods, and computational cosmology. An annual meeting of
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algorithmic approaches and be conducted in the context of wireless networks, the Internet of Things (IoT), distributed learning, or edge computing infrastructures. The research topics may include, the
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methodological focus will be the precise determination of the number of confined water molecules, addressed through two parallel strategies: connecting the channel to a fixed-pressure reservoir, and the
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consumption by information and communication technology which could lead 20% of global energy production to be consumed by the adoption of artificial intelligence. Therefore, “unconventional” computing
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and distributed sensing applications over optical fibers. The work will involve advanced manipulation of the phase of ultra-stable lasers, the development and implementation of advanced modulation and
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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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of Earth and Environmental Sciences of the University of Strasbourg. Close collaborations with the various project partners are also planned throughout the PhD. A dedicated computer equipped with
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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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often lack the resolution and physical detail needed to accurately represent key glacial processes at the watershed scale. This dissertation will develop a coupled, distributed glacio-hydrological
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includes approximately 150 people - researchers, teacher-researchers, engineers, technicians and PhD students - distributed across 15 research teams and 4 technical platforms and services. The activity will