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analyses. The work will involve network analysis, computational modeling, and simulation of control strategies for healthcare‑associated infections. Candidate profile: Applicants should hold a PhD in network
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libraries to enable flexible, modular, and scalable system simulations. This includes implementing component models with varying levels of fidelity (0D, 1D, physics-based, and/or experimentally calibrated
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data, numerical simulations, and data-driven approaches to uncover structure–property–process relationships and enable predictive modeling. Particular emphasis will be placed on state-of-the-art
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sensing. Of particular interest are modelling and numerical simulation methods at the electromagnetic-field level that enable the computer-aided design of critical components in complex, integrated quantum
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Description: The framework topics deal with experimental analysis, numeric simulations, and modeling of processes in individual biorefinery processing steps – pretreatment, waste to X conversion technology
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models to simulate hydro- and morphodynamic coastal processes. The group is also working extensively on field studies and on the development of nature-based coastal protection, in close collaboration with
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NAME_FAMILY NAME) : https://nextcloud.univ-lille.fr/index.php/s/ezJxfSBwTjkJCnt Key words: solidification, recycled aluminum alloys, induction heating, thermal simulations, 3D modelling, mechanical testing
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research tasks: (i) modeling electric and magnetic excitations in two-dimensional (2D) materials, and (ii) simulation of charge transport phenomena in plasmonic crystals with 2D electron gas layers, with
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research tasks: (i) modeling electric and magnetic excitations in two-dimensional (2D) materials, and (ii) simulation of charge transport phenomena in plasmonic crystals with 2D electron gas layers, with
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modeling and simulation to complement physical experiments. (Preferred) Proficiency in CAD and modeling tools such as SolidWorks for experimental design and apparatus development. And possess at least three