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of electrochemical reactions carried out under strong, controlled magnetic fields. Part of the work will involve establishing an in-situ characterisation method, supplemented by research into optimal experimental
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and optimization of metasurfaces exhibiting tailored spectral responses at selected near-infrared wavelengths • Development of angularly robust optical functionalities over wide ranges of incidence
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language models to whole genome sequencing data - Develop algorithms and neural network architectures for the prediction of structured outputs (i.e. trees, graphs) - Implement and develop methods
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Postdoctoral researcher (M/F), synthesis of crystal phase heterostructures by Molecular Beam Epitaxy
optimize the growth of GaAs nanowires integrating crystal-phase heterostructures by molecular beam epitaxy (MBE). Contribute to scientific writing, presentation of results, and promotion of the project's
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edges,...) with high temperature structural applications. Knowledge of thermomechanical properties (coefficient of thermal expansion) and thermophysical properties (diffusivity, heat capacity, thermal
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, physical chemistry, photophysics and biology, and seeks to simultaneously extract structural, dynamical and environmental information at the single-molecule scale. Within the framework of this position
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the boundary layer and the turbines, but also at the center. This should shed some new light on the dissipative structures and extreme events possibly responsible for the large scale evolution of the flow
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techniques; Structural and functional characterization of interfaces and junctions, in particular through nanoscale analyses; Development, adaptation, and optimization of experimental methodologies
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
(# ANR-22-CE01-0028) funded by the ANR. This two-year project (01/04/26 to 31/03/28) aims to explore the link between the dynamics of rupture on seismic faults and the structure of the damage zone
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demonstrators, to be optimized and evaluated on flexibility, sustainability and efficiency for the corresponding use-cases, including the use of new and emerging specialized AI-focussed accelerators for radio