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Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH | Barcelona, Cataluna | Spain | 6 days ago
machine learning techniques and minimizing the environmental impact of the solutions developed. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-pdi-postdo
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electric machines of varying power rating and machine topologies. The machine-level studies will be carried out in cooperation with ABB Corporate Research Sweden, Västerås. Research Focus The doctoral
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validation will include sample-level characterizations as well as measurements on electric machines of varying power rating and machine topologies. The machine-level studies will be carried out in
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Postdoc position in AI and Machine Learning for Electromobility Reference number REF 2026-0337 Do you want to contribute to the future of AI-driven electric transport systems? Join our research group
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infrastructures integrating photovoltaic systems, battery storage, buildings, electric vehicles, and local controllers. While this evolution is essential for the energy transition, it also creates new
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, belt sander, electric drill press, electric grinder, key-making machine, skill saw, saber saw, electric planers, router, and other equipment incidental to the trade. Responsible for r epair ing
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://arxiv.org/abs/2603.06760 . A potential target application is the design of model gliders to compete in FAI competitions such as https://www.fai.org/page/f5-electric-flight . Profile Potential candidates are
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: Microprocessors; Zeljko Zilic ECSE 461: Electric Machinery; Xiaozhe Wang ECSE 515: Optical Fibre Communications; David Plant ECSE 551: Machine Learning for Engineers; Narges Armanfard ECSE 552: Deep
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modeling, design, control, testing, and operation of mechanical and physical mobility systems. Advanced materials and manufacturing encompassing the implementation of artificial intelligence and machine
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services and system upgrades for large-scale wind generation and electric mobility in Iceland. Position Description The position is funded through the SIF PhD Support Fund (Reykjavík University