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that bridge quantitative modeling and qualitative approaches. Postdoctoral researcher in peri-urban energy planning and sufficiency Your tasks Develop and apply optimization and simulation models to assess
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around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL
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Università degli studi di Roma La Sapienza Dipartimento di Pianificazione Design tecnologia dell'architettura | Italy | 16 days ago
Description he Project is aimed at developing an "Energy Intelligence Data Platform" applied to the management of smart grids that optimize the production from Renewable Energy Sources (RES) and the uses
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orientation of its research concerns aerodynamics, solid mechanics and energy conversion in flows including plasma and lasers. Participation in the design and optimization of integrated energy systems
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through Intelligent Optimization and Predictive Control at SIT’s Punggol campus. Under this job title, you will be required to establish a test bed in SIT’s Punggol campus building, benchmarking of current
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Established in 2010, the Energy Research Institute @ NTU (ERI@N) leads systems-level energy research for tropical megacities, covering the full energy value chain from generation to advanced end-use
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 23 hours ago
employment. Starting date: 01.05.2026 Job description:PhD Student (f/m/d) Dynamic Process Modelling and Value Chain Assessments for Sustainable Methanol from Renewable Energy With cutting-edge research in
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PhD Position – High-Temperature Electrolysis – from stack design to operational optimizationFull PhD
cells with improved energy and power density, longer lifetime, and maximal safety. Find out more about our mission and future-oriented projects here: https://www.fz-juelich.de/en/iet/iet-1 We
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) of different sizes. The central objective is to enhance energy efficiency, prolong battery lifespan, and achieve optimal power distribution through intelligent, data-driven decision-making frameworks. This study
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, and how signaling pathways integrate with physical constraints to ensure an optimal balance between lipid storage and energy production. By combining quantitative biophysics, advanced imaging, and