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Field
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research • Deep learning and predictive modeling • Natural language processing and large language models for biomedical data • Drug response prediction and treatment optimization • Biomedical knowledge
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of Applied Engineering is looking for a full-time (100%) doctoral scholarship holder in the field of robust artificial intelligence for industrial process optimisation. The research of this PhD position will
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combining particle damping with architected metamaterial concepts enabled by Laser Powder Bed Fusion (LPBF). The proposed approach will employ optimized internal cavities acting as Tuned Mass Dampers (TMDs
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institute in materials science and advanced characterization. The candidate will have access to the FastNano Liquid platform, enabling operando monitoring of PISA processes through SAXS and Raman spectroscopy
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Monte-Carlo simulations to optimize the detector geometry, as well as in its testing and commissioning. It will include as well the preparation of forthcoming experiments at the DESIR facility in GANIL
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of processing routes for advanced ceramics and surface treatments, with the aim of developing materials and components with tailored properties for demanding applications. SAFRAN is a leading French international
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the bearing. To optimally re-lubricate, it is vital to understand this mixing process. Currently, the scientific knowledge of re-lubrication is non-existent. This project will build new knowledge on several key
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and tunneling as well as planning and production processes related to both mining and civil engineering. Project description For this PhD position, the research will focus on the development
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SD-26109- POSTDOCTORAL RESEARCHER IN AI-BASED ENERGY MANAGEMENT OF RESILIENT MICROGRIDS WITH SECO...
grid disturbances, outages and high uncertainty. Optimizing battery system operation, including state-of-charge management, reliability, lifetime-aware operation and backup power availability. Building
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in photochemistry, including photon transport, catalyst performance, reaction scalability, and process intensification. The developed platform will enable rapid optimization of photocatalytic