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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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computational perspective, this requires solving billions of systems of ordinary differential equations in parallel on adaptively refined meshes, while performing interpolation and tensor operations
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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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Environmental Sciences of Strasbourg (ITES) of the University of Strasbourg, within the TRHYCO research group (TRansfers in HYdrosystems COntinentaux). The PhD will be affiliated with the Doctoral School
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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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open systems. This is an emerging field of research, in which many fundamental physical questions remain open. Cavity polaritons—hybrid quasiparticles emerging from the strong coupling of light and
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various scales. The successful candidate will join the Systems Biology group and will be supervised by Professor Anna NIARAKIS. Job description : Creation of a multi-scale predictive digital twin of the
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with LSS. Qualifications. A PhD in astrophysics, cosmology, or a related field completed by the start date; strong programming skills; working knowledge of machine learning applied to astrophysics
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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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) batteries are one of the most promising energy storage technologies. Developing applications, such as the electric vehicle or intelligent power grids, require higher energy densities and retention of