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SDU as well as abroad. In particular, the project involves a formal collaboration with the Institute for Computational Genomics at RWTH Aachen University, Germany. Research visits to our research
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electrical engineering, computational engineering, or a related discipline A strong foundation in power system modelling and simulation Solid programming skills (Python, C++, or comparable languages) Interest
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ideal conditions for you to complete your doctoral degree: Pursue a PhD at RWTH Aachen University under the supervision of Prof. Benigni Access cutting-edge infrastructure, including the Jülich
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. We offer ideal conditions for you to complete your doctoral degree: Pursue a PhD at RWTH Aachen University under the supervision of Prof. Benigni Access cutting-edge infrastructure, including
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collaborators both from SDU as well as abroad. In particular, the project involves a formal collaboration with the Institute for Computational Genomics at RWTH Aachen University, Germany. Research visits to our
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or computer science Experience with UNIX-like operating systems Mathematical and programming skills (Python, Machine Learning) Basic understanding of molecular forces and structures Excellent knowledge of written and
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for 6G Host: RWTH Aachen University, Germany Main supervisor: Prof. M. Petrova [RWTH] Co-supervisors/mentors: Joerg Widmer [IMDEA], Dr. L. Simić [RWTH], and Dr. A. Saavedra [NEC] Required profile
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from the Faculty of Georesources and Materials Engineering of RWTH Aachen University or the Faculty of Natural Sciences and Technology of Saarland University Comprehensive training offers and individual
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highly qualified scientists at PGI-12 und IET-3 Possibility for a doctorate from the Faculty of Georesources and Materials Engineering of RWTH Aachen University or the Faculty of Natural Sciences and
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research position in a dynamic and collaborative environment Extensive opportunities for personal development and training, e.g. through an extensive range of training courses; a structured program of