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Field
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for autonomous optimization and design of materials, structures and processes Multimodal scientific AI – integrating language, images, sensor data and simulations Alignment for scientific AI – scalable oversight
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to different aspects: - conception, mplementation and optimization of the optical experimental device - programming - characterization on different samples - sample preparation - writing of articles
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high-frequency power conversion technologies through analytical modelling, multi-domain optimization, hardware development, and experimental validation. The research will explore the interaction between
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and build a Digital Twin that links atomic-scale chemistry, mesoscale transport, and device-level performance, allowing researchers to test, predict, and optimize designs in a computer before building
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detection in space applications. The activity will include numerical electromagnetic modelling, cleanroom fabrication, and optical/electrical characterization aimed at optimizing resonance control, absorption
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considered a major advantage. Mandatory requirement: the candidate must hold a PhD degree and have previous research experience. Analyzing and optimizing financial performance for sustainable circular business
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. It will seek to implement processes to optimize the designs and compliance of buildings and infrastructure, leverage benefits of advanced manufacturing processes (including off-site panelized and
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structure-property relationships to guide purification technology selection · Conduct lab- and pilot-scale testing and optimization of different purification methods Where to apply Website https
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with advanced control methods. The research will therefore explore RL algorithms that not only operate optimally against such competing objectives but also effectively under uncertainty, changing
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resistance, while contributing to the laboratory's overall scientific vision. Design, execute, and optimize experimental approaches using state-of-the-art techniques, including but not limited to molecular