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on the development of non-local crystal plasticity formulations incorporating internal length scales associated with dislocation structures and microstructural interfaces (like grain boundaries). Based on recent
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temperatures using thermography with acceptable accuracy. Evaluation of available components, design and construction of the device, and production of a 3D model. Methodology for surface temperature measurement
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they bond in materials, but also develop transferable skills in scientific computing, data analysis and visualisation. "Machine learning for atomic-scale structure determination in thick nanostructures" (with
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offers a unique and stimulating scientific environment, structured around team meetings, laboratory seminars, and interdisciplinary public seminars focused on energy and transition-related topics. The PhD
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physics of Irregularity. We try to understand the solid, liquid or intermediate states (gel, pastes, foams…)of matter (structure, properties, phenomena of sets related to the interactions between
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model of the non-transparent structure. Using this approach, we aim to build a microscope that can look inside very complex materials without loss of image quality. Your role is to build flexible 3-D ray
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well as early embryonic development – in both health and disease. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics
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in life-science research. The work will focus on the design of practical, inexpensive, and easy-to-handle intermediates that can be transformed into a broad range of valuable structures and
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control performance and efficiency. This PhD project focuses on data-driven analysis of confined liquids structure, informed by total neutron scattering. The emphasis is on developing new analysis
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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