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. Develop and enhance advanced optimization algorithms for the Energy Management System (EMS), addressing energy dispatch, storage control, load scheduling, and strategies for market participation. Architect
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photocatalytic degradation of Per- and Polyfluoroalkyl Substances (PFAS) with optimized COFs Look for necessary collaborations with internal or external collaborators (e.g. theoretical modelling and advanced
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processes and develop innovative tools in cell biology. Key Responsibilities: Conduct experimental research using quantitative biochemistry, biophysics, and cell biology. Develop and optimize advanced
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decision-making and research findings. Qualifications & Competencies: Minimally a PhD degree in Artificial Intelligence, Computer Science, Optimization, or a related field. Strong foundation in multi-agent
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and development in the chemical conversion and valorization of hazardous waste streams, focusing on complex, reactive materials. Involves process design, optimization, and scale-up, including reaction
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optimization of multi-modal LLMs. Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content. Develop and refine machine learning and deep learning
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Responsibilities: Finance: Keep track of expenditure and remaining budget in an organized manner, ensure that the spend is optimized and on track with respect to goals set for the grant; prepare financial and
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Materials, Bioinspired Materials and Sustainable Materials. We are looking for a research fellow with a strong background in electrochemistry and catalysis to Development and optimization of biomass chemical
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to collaborate with scientific teams at CEA, France. Key Responsibilities: Investigate how plasma shaping influences turbulence in tokamaks, with the goal of understanding and optimizing its role in enhancing
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Responsibilities: The successful applicant will be responsible for the development of Performing literature review and background study on collaborative AI Apply knowledge on foundation models to optimize training