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, geothermal heat, and industrial waste heat all play critical roles. One promising solution for harnessing these energy sources is the supercritical CO2 (sCO2) Brayton cycle, which offers high thermodynamic
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renewable energy in a dense and usable form. However, the thermodynamic and kinetic barriers associated with CO₂ reduction require the development of high-performance and selective catalysts. The selected
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of manufactured parts, particularly in terms of geometrical accuracy, microstructural control, and mechanical performance. This PhD project aims to develop a Multiphysics model and simulation to gain in-depth
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role We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training
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spectroscopy with this equipment. Photothermal therapeutic nanoagents aim at converting optical energy into heat to induce hyperthermia and a stress response in targeted biological tissues. From an external
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conditions are particularly suitable for detailed comparisons with high-fidelity numerical simulations. Additionally, LEGI lab has a similar reactor to that of LMFL (operational and fully instrumented
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). Expected results: • New HWCVD technology validation and optimization. • Obtain high optical performance a-SiC thin films (test material in small dimension, <2-inch) to be used in other WPs. • Comprehensive
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 27 days ago
the Planetary Surfaces Data and Services Center (PDSSP). In terms of computation, we will strongly rely on the GRICAD computing infrastructure (CPU, GPU, and high performance storage). LanguagesFRENCHLevelBasic
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). Conversely, non-specific protein adsorption can interfere with the functioning of the bioactive surface, in the case of medical implants, and in this case a polymer brush capable of repelling unwanted entities
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. The person will be employed at the Department of Computer Science and have access to high-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. They will