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in teams of scientists and support staff with competences spanning a wide range of fields including applied cyber-physical systems, artificial intelligence, embedded computing, mechanical structure
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employed in the project. Our expectations of you The candidate should have a deep technical insight and experience in high performance computing, programming and structural optimization. The candidate must
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, including research and teaching activities, as well as in management and/or organisational roles (such as participation in the central study board, degree programme boards and various local management
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Job Description We are on the lookout for one student assistant to join our project team and contribute to the success of the Digiwind project — a European initiative that aims to equip STEM professionals with the digital skills needed for the future of wind and energy systems. Learn more about...
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programs, and 4) dissemination with high visibility and broad societal impact. The applicant is expected to contribute to the teaching program at the Department in the Bachelor and Master’s programs in
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engineering, operations research, computer science, economics, or a related field. You must have demonstrated track record with publications in recognised and leading journals based on experience in developing
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programme management as well as contributions to the development of teaching activities and teaching material. Emphasis is placed on the extent, to which the applicant, has developed the academic discipline
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are expected to develop and sustain a research program focusing on the communication physical layers and antennas of smart devices, such as those used in IoT and edge computers, as well as signal processing and
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have to: Participate in formal pedagogical training program for assistant professors. The associate professor’s additional responsibilities will primarily consist of: Research leadership, including
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research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of eight research sections with around 350 highly dedicated