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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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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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generation, targeted atomistic simulations, structural descriptor extraction, and predictive models. The work will aim to establish links between local pore geometry, structural disorder, sodium adsorption
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models, large language models, and statistical mechanics to conduct research in the following areas: (1) Development of data-driven schemes for the discovery of slow variables. (2) Molecular simulations
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(pure and metal-doped) and carbon chains in supernova ejecta. • Apply molecular dynamics (MD) methods to simulate the formation of alumina agglomerates. • Use ab initio wave function methods to model
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» Surface physicsYears of Research ExperienceNone Additional Information Eligibility criteria • Strong experience in numerical simulation and/or physical modelling • Knowledge or strong interest in
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Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The advent of large galaxy surveys such as Euclid poses numerous modeling challenges
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Eligibility criteria The candidate must have a strong background in materials physics, atomistic simulation, or numerical modeling. Experience in molecular dynamics and handling force fields is required
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for environmental qualification campaigns. • Electromagnetic modelling and simulation of resonant microwave structures to support experimental investigations. • Preparation of technical documentation, including
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requires very long simulation times which may only be achieved using frugal numerical approaches or reduced-order models. Below are listed some possible activities of the successful candidate. Some of these