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with Simulation-based Inference ), funded by the Multidisciplinary Institute for Artificial Intelligence (MIAI) through an AIforScience Research Chair. ADACSI will develop a multi-probe simulation-based
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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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and automatically differentiable simulations. To develop and validate differentiable cosmological models for the evolution of large-scale structures and gravitational shear observables, whilst assessing
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and integrate the existing MATLAB-based HFMC model with Aspen Plus to enable process-level simulation and evaluation. • Develop and assess multistage and multi-membrane process configurations for CO₂/CH
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postdoctoral position focused on the development of a novel vertex detector concept for FCC-ee. The successful candidate will contribute to detector prototype testing, detector simulation and optimization, and
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-Chem simulations for modeling aerosols and clouds in the Arctic region. - Analysis of the interactions between aerosols, clouds, and climate using data from the simulations. - Validation of the models
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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 clouds will be carried out with
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the superfluid-to-insulator transition, random quantum circuits, and the effects of quantum measurements. -Develop theoretical models and analyses of disordered quantum systems. -Perform numerical simulations and
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engineers of the group. The project is conducted under ANR funding, in collaboration with the DeSIs group at IPHC, which has an expertise in simulation and with which the candidate will also interact
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consistent models and their integration into numerical simulation tools coupled with boundary value problem solvers (e.g. finite element-based frameworks). A significant part of the work will focus