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of physicochemical models to interpret the experimental results. Prepare scientific reports and contribute to peer-reviewed publications. The selected candidate will join the Institut de Physique et Chimie des
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validation in collaboration with the team. • Development of neuromorphic learning models based on the equilibrium propagation algorithm • Design of local learning rules for magnetic skyrmion systems
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, sedimentology, remote-sensing and geodesy, and numerical modeling. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7154-SABGAL-058/Default.aspx Requirements Research FieldGeosciencesEducation LevelPhD
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models. The outcomes of the project will be disseminated through publications in international journals and presentations at scientific conferences. Website for additional job details https
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of this postdoctoral project is to explore the properties of compound nonlocal metasurfaces and develop innovative models and techniques for engineering tightly spaced, multilayered dielectric MSs. The research will
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to experimental design, modelling of temporal encoding schemes, and data analysis, within a highly interdisciplinary environment combining optics, photophysics, signal processing and biology. The person will
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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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and 3D finite element modelling (COMSOL, CST) of the optical control process for materials. -Integration of the optimal compositions into simple test structures to directly evaluate electrical switching
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comparison with predictions from machine learning models • Close collaboration with researchers in charge of machine learning, algorithmic architecture and performance analysis • Contribution to the scientific
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practically applied either as a full replacement of standard DNS or as a reduced-order model reproducing the main features of turbulent flows (energy spectra, scale-by-scale energy transfers, intermittency