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surface based on elementary or unit cells incorporating active materials (electrically or optically), will require the development of technologies capable of replacing semiconductor components distributed
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delocalization, compressibility, and emergent modes in interacting quantum dot lattices. • Compare experimental observations with theoretical models based on capacitance networks, Hubbard-type Hamiltonians, and
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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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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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computational models and machine learning methods, as well as experience in repertoire data analysis. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8023-CLAMAR-001/Default.aspx Work
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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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with collaborators involved in genomic and bioinformatic analyses. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8261-ZEYTAD-002/Default.aspx Requirements Research FieldChemistryEducation
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the simulation of turbulent flows using a tensor network representation of the Navier–Stokes equations. Unlike recent approaches based on tensor networks, which simulate fluid flows in physical space using finite
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. The candidate must have earned a PhD (or equivalent) in Chemical Sciences or Molecular Chemistry with a chemical synthesis-oriented and spectroscopy background. He/she should be able to work with independence 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