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simulation environment. Contribute to the implementation of search systems and optimization of the parallelization of AI models or system topology to minimize time and energy consumed. Where to apply Website
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Applications, written in English, should include: A detailed CV A list of publications (if any) A motivation letter Previous degrees List of courses with corresponding grades Contact details of 2 persons who agreed to give references Early application is highly encouraged, as the applications...
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impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective is to investigate the optimal
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. The duration of the position is 36 months. Your work tasks The work will especially contribute to projects in the area of modelling and optimization of reactors and systems for Power-to-X, fuel cell systems, and
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optoelectronic materials through advanced characterization and AI-guided optimization of epitaxial growth parameters. The PhD student will work on the various technological building blocks of the epitaxial growth
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Your Job: Literature research on /Familiarization with the topic of tr-PL and TCSPC and perovskite PV Familiarization with the measurement equipment and set-ups Qualitative measurement of the tr-PL of charge carriers in a range of perovskite samples Qualitative TCSPC measurements for a range of...
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EngD: HOLEDATA - Hole Optimization using Load Evaluation, Drill Assessment and Tool wear Analysis EPSRC Centre for Doctoral Training in Machining, Assembly, and Digital Engineering for Manufacturing
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Organization U.S. Department of Defense (DOD) Reference Code USAFSAM-2025-0004-F How to Apply Click on Apply at the bottom of the opportunity to start your application. Description The U.S. Air Force School of Aerospace Medicine is offering a faculty research fellowship at the University of...
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1st, 2026 Work location: Geesthacht (near Hamburg) Application deadline: December 31st, 2025 EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization
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. The successful candidate will contribute to the development of a software framework for optimization-driven structural design. The methods developed will be designed to overcome the limitations of current topology