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: up to 3 recommendation letters from senior researchers familiar with the applicant’s academic work. other material considered relevant by the candidate. Where to apply All documents should be submitted
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of experienced researchers from CNRS, UL, Arts et métiers, IMT and CEA, as well as several PhD students and post-doctoral researchers, working on high-throughput material characterization and micromechanical
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training on HMI and methods for classification and comparison of different techniques. Title: Processing and fusion of data coming from a variety of techniques (XRF, HSI, HMI, FUV) for improved material
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and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific experience. Our approach integrates cutting-edge tools and technology
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to empower younger generations to make art and culture their own. It does so by applying research methods from museum studies, psychology and educational sciences, and visual and material culture. This project
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embedding longevity, material efficiency, and realistic performance limits from the start. This project develops a pioneering methodology for data-driven optimization of next-generation material systems. You
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Virtual Material Design (VMD) pipeline for neuromorphic spintronics based on topological spin textures, including 2D skyrmions and 3D hopfions. Project background: Topological spin textures (TSTs) combine
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alternatives, no known material currently provides the unique balance of properties offered by PFs. To support the transition to viable PF substitutes, the PhD candidate will develop a new generation of
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the CaO-based material to enhance biomass conversion and heat management within the process. Circulation of solid materials allows both thermochemical heat storage and sensible heat transport, reducing
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; they produce some of its most vivid source material, for a variety of audiences; and they work alongside militaries, local societies and international organizations in a unique way. In short, they provide