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, process optimization and food characterization. Key Responsibilities Lead bench formulation of mushroom‑based and plant‑based food products, especially focusing on muscle‑like architectures to achieve
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of AI-based decision quality. ; ; The main objectives of the Fellowship are:; 1) Apply reinforcement learning algorithms to optimize electrical networks considering energy transition challenges.; 2
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, ASV, ROV, docking station) 2. Select and integrate embedded computing optimized for real-time vision/AI 3. Develop multi-platform energy management, depending on consumption profiles and defining
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structures.; • Design and optimize, through full-wave electromagnetic simulations, a transparent unit cell operating in the FR3 frequency band.; • Investigate the integration of memristive switching devices
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– Femtosecond Laser-Written NV Center Defects and Entanglement: This project aims to understand and optimize the femtosecond laser writing process of nitrogen-vacancy (NV) center defects in diamond for scalable
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quantum optimal control and related methods, and research experience with ultracold atoms. Applicants should have practical problem-solving skills, independence of thought and initiative, the ability
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the precision health domain that aim at diagnosing various types of disease and recommending optimal treatments for patients. The position will be supervised by Research Professors and will be conducted with
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materials. Perform numerical simulations, design photonic nanostructures, and carry out related experimental measurements. Build and optimize optical setups for characterizing material and device properties
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robotic AI systems and automated sorting or ranking methodologies are inspectable and risk-aware. Implementing advanced filtering techniques and symbolic spatial relation models to optimize tracking
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tools for forage producers. The research aims to advance ecological weed management strategies and provide producers with practical information to optimize forage production, livestock performance, and