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activities: • Develop a comprehensive model for selected structures, utilizing finite-difference time-domain (FDTD) electromagnetic simulations and iterative algorithms. • Create a physics-based generative
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been identified, these will be studied using a state-of-the-art atmospheric chamber platform to simulate their effects in the atmosphere. This thesis will provide fundamental information for the large
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The successful candidate will join the Climate Physics team at ENS de Lyon (https://climatephysics-ensl.fr/ ), which currently consists of 5 permanent researchers, 7 PhD students and 2 postdoctoral researchers. We
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Théorique (LAPTh, CNRS/Univ. Savoie Mont Blanc) invites expressions of interest for one or more postdoctoral researcher positions focused on advancing simulation-based Inference (SBI) frameworks for modern
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to the cleanroom. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9001-RAFCOL-014/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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. The doctoral candidate will be enrolled in the PHENIICS Doctoral School (Physics: Hadrons, Energy, Nuclei, Instrumentation, Imaging, Cosmos, and Simulation) at Université Paris-Saclay. This doctoral school
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simulation tools, particularly for the systems UO2–SiO2–ZrO2–Ln2O3 (Ln = Ce, Nd, Gd, Yb); U–Zr–Ln–O; UO2–SiO2–ZrO2–BaO(SrO); and U–Zr–Ba(Sr)–O. In a second phase, the project will focus on studying
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), referred to as NSS (Neuromorphic Spike Sorter). NSS has been validated in simulation and has demonstrated promising performance on neuromorphic hardware such as Loihi 2. The goal of this PhD project is to
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observational data. Experience with numerical simulations, effective field theories, or axion phenomenology is highly desirable. Beyond technical excellence, we seek a collaborative scientist committed to