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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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, environment, and information technologies. Support the development, methodology optimization, and dissemination of the project. Support intellectual property and prototyping activities. 2. Workplace
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, namely: needs diagnosis and assessment; development of artificial intelligence-based forecasting models; and development of optimal control models. Relevant experience directly in the project’s area – 5
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) promotion of the dissemination, valorization, and exploitation of the results obtained within the project. 4. Objectives: The D2INNOV project aims to optimize the preparation and irradiation processes
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; iv) mixture optimization (task 2). Beyond laboratory activities, the scholarship holder will follow the construction of the experimental road section (task 4), in the life cycle analysis (task 5), and
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of the NODE method (solutions, optimization, convergence) 3) Extension of the NODE method with latent space. 4) Application to classifiers and comparison. V - Initial grant duration: 6 months V.I - Renewal
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Conducting technical debugging, system performance optimization, and basic functional code verification. Documenting the code repository, technical architecture, and system workflow in a final report. V