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more efficient energy transfer between batteries and electric drivetrain. It can also significantly contribute to improve efficiency of power conversion generated by renewable sources (solar, wind). The
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agreement. The successful candidate is expected to take a leading role in the development of the group tasks and help in supervising PhD students. Applicants must have a PhD in experimental high energy
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 8 days ago
support from FEDER and national funds through FCT, I.P., under the following conditions: Scientific Area: Energy Admission requirements: Holders of a PhD degree in Electrical and Computer Engineering, Civil
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as part of a team of inter-disciplinary researchers focused on the renewable energy and power systems. Undertake high-quality research/scholarly activities under limited supervision either
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conversion systems, for example in fast battery chargers for electromobility, renewable energy sources (solar, wind), as well as in the defence sector. This work will focus on the optimization of fabrication
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, a position as PhD stipend is available within the general study program. The PhD stipend is open for appointment from 1st June 2026 or soon after. The position is for 3 years, and it is funded by
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Offer Description Scope of work The successful PhD candidates will be part of the group created by dr Jacek Herbrych (https://jacekherbrych.github.io ) within project NCN SONATA BIS 13 2023/50/E/ST3/00033
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markets. The work centers on developing and analyzing future energy systems in which heating, cooling, electricity, industrial processes, and renewable energy sources interact, as well as contributing
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of renewable materials, health and energy - to establish permanent links with the socio-economic world. The candidate recruited will be under the supervision of Daniel Taton within Team 1 of the LCPO. He/she
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on artificial intelligence techniques, namely machine learning and deep learning; (3) analysing mathematical models applicable to renewable energy generation technologies and electrical energy storage systems; (4