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building technology, HVAC system study and optimization, sustainable building design, and building energy modelling, for built environment applications is preferred. Knowledge in test instrumentation, PLC
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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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Infrastructure? No Offer Description The work requested is part of the interdisciplinary mission of the University of Pau and Pays de l'Adour, as well as that of the CNRS through the IPREM: "organizing energy
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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 | 20 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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related to staff position within a Research Infrastructure? No Offer Description Description NYUAD Experimental High Energy Physics group is searching for a post-doctoral associate to join the planned
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phenomena, including the design and optimization of thermoelectric converters, analysis of thermal stresses in thermoelectric systems, and simulation of their energy parameters, 3) authorship or co-authorship
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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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staff position within a Research Infrastructure? No Offer Description The selected candidate will develop innovative and efficient resource optimization algorithms, suitable for this context, with cost