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of RNA remains a major challenge, mainly due to the limited number of experimentally resolved RNA structures. As a result, RNA—and in particular long non-coding RNAs (lncRNAs)—remains a largely
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for electric propulsion. The thesis will develop new reduced model of equations that will capture the main modes that are observed in these plasmas and will be implemented in a numerical code. In addition
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in supporting modeling; multi-agent systems Technical skills: coding and multi-agent modeling (required), proficiency in CORMAS or an equivalent platform (NetLogo, GAMA, etc.). Programming (Smalltalk
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conducted primarily using the SMILEI kinetic (PIC) code, which was co-developed by LULI and several laboratories at the Saclay Plateau. They will complement the experiments conducted on LULI's laser
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, contributing to research in the field of artificial learning. The data generated by this doctoral work will be deposited on open archaeological databases (Nakala, Huma-Num, POP, etc.), and the algorithmic code
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selecting simulations to run based on a given prediction objective. • Implement and validate these developments in the YALES2 code. • Utilize high-performance computing resources to run the simulations
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investigations using the ConBo facility and numerical modeling of the system using an Euler-Euler framework (by coupling the NEPTUNE_CFD and Syrthes codes [1], developed by key players in the French nuclear sector
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of existing, simplistic parameterizations. Prerequisites: Background in physics, applied mathematics, computing, or physical sciences is required. Previous coding experience and familiarity with high
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difference operators, our focus will be on a Fourier-space description of spatially periodic velocity fields, taking direct inspiration from Fourier pseudo-spectral methods used in standard DNS codes