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sustainable and efficient transportation. Since fuel cells have slow dynamics and quick degradation, optimal and predictive energy management control is crucial for maximizing energy efficiency and extending
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energy system and its environment (port) with scenarios. • Development of an optimal design method applied to the energy system simulation model. • Multi-criteria evaluation of the proposed energy systems
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for Vehicle-to-Grid (V2G) systems based on electric vehicles and fuel cell vehicles (FCEVs), with the goal of optimizing the interaction between vehicles and the electrical grid. In particular, the research
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scheduling to optimize clinic flow and access. Key Responsibilities Patient Experience, Access, and Scheduling Deliver positive, effective customer service to patients, families, visitors, and staff in
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examines how digital twins, simulation-based multi-objective optimization, and AI-driven decision support systems can enable manufacturing industries to maintain stable production, optimize energy usage, and
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Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 12 days ago
. Through advanced Machine Learning and Deep Learning technologies, it seeks to automate agronomic processes, optimize resource use, and maximize production in a sustainable way. Main duties Design
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institute for natural and engineering sciences within Switzerland. We perform cutting-edge research in the fields of future technologies, energy and climate, health innovation and fundamentals of nature. By
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algorithms for process industries (e.g., chemical, pharmaceutical, materials, energy) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances). Explore the integration of large
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of the interplay between water and energy systems. Candidates must have a background in experimental approaches and data analysis for pilot-scale membrane-based water treatment systems, modeling and optimization