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for Applied Power Electronic Systems. You will join an interdisciplinary team working across electrolyzers, Power-to-X systems, power electronics, control, digital twins, and energy-system optimization, in
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, the team helps optimize resource usage, manage costs, and advance Duke's commitment to responsible energy stewardship. At Duke, you'll join a collaborative community where innovation, service, and continuous
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sought-after partner in both academic and public-sector collaboration. The research focus includes energy system optimization models, sustainable energy and climate transition, scenario analysis, and
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for Applied Power Electronic Systems. You will join an interdisciplinary team working across electrolysers, Power-to-X systems, power electronics, control, digital twins, and energy-system optimization, in
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guidance from your mentor, your learning opportunities may include: Assist in the design of new grant programs for energy optimization and residential workforce development created through the Infrastructure
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consumption while maintaining high performance. Through innovative circuit design and technology optimization, the project aims to contribute to the next generation of energy-efficient and cost-effective
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work as well as to develop optimal control strategies for energy systems including building energy systems, energy storage systems and fire systems. The role will focus on conducting comprehensive data
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12 Sep 2026 Job Information Organisation/Company Mines Paris-PSL Research Field Technology » Energy technology Mathematics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First
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, Machine Learning, Optimization for AI, Probability and Statistics, Scientific Machine Learning, and AI for Science. Spanish language skills are not required. Our working language is English. Both our
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 1 hour ago
therapeutics and generic drugs. This effort covers more than just medicines. Research Project: The objective of this research project is to collect and analyze the dosage selection and optimization strategies