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consist of incorporating our physical findings into the GlaDS model by representing a distributed drainage system in which conduits and cavities are connected in series. The candidate will be required to
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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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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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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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, multifunctional materials, materials mechanics, and interfacial phenomena. The PhD student (M/F) will join the Mechanics of Interfaces and Multiphase Systems (MIM) research group, whose activities