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elsewhere as part of the same ANR project will be performed. Refractory high-entropy alloys (RHEAs) with a body-centered cubic (bcc) structure are single-phase solid solutions composed of elements such as Ti
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to enable quantitative, high-resolution, time-lapse monitoring of soil properties and will be implemented using high-performance parallel computing. This PhD position offers the opportunity to work at the
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stability analysis and control, machine learning, dimensionality reduction and high-performance computing. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UPR3346-NADMAA-159/Default.aspx
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investigate emissions from high-energy atmospheric phenomena in future aerospace missions. Main Objectives Perform lab-based experiments to simultaneously measure HE and RF emissions across a broad portion of
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subsystem will be integrated into an experimental solar thermophotovoltaic platform at PROMES. The candidate will explore the operation of the system under realistic high-temperature conditions using
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Engineering, Neuroscience, or related fields. Tasks to be performed: Collection of experimental data in humans, development of neural decoding algorithms from bioelectrical signals, and development of a
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energy density matter , High Energy Experimental , High Energy Physics , high energy physics or mathematical physics , High Energy Theory , High Energy Theory Group , High Performance Computing
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, deformation mechanisms and mechanical performance, ultimately enabling more efficient design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https
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project. These datasets will combine information from high-resolution experiments (HR-DIC, HR-EBSD, nanoindentation mapping) and large-scale numerical simulations performed using advanced FFT-based crystal
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stimulating research environment within the DZNE, the SyNergy Cluster, with access to advanced imaging platforms, single-cell and spatial multiomics pipelines, high-performance computing, and close interaction