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Job Description If you dream about helping secure the green energy transition by developing technologies for power and energy system resilience, such as large-scale energy conversion and storage
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of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings
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well as abroad. Your primary tasks will be to: Using automotive lidars for detection of wind turbine blade deflection Development of efficient ways to analyze the automotive lidar data Develop the technology to
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challenges in the sector, such as the green transition, mobility for all user groups, congestion and challenged land use particularly in large cities; equity, safety, and risk; and derived negative
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research activities of the School of Culture and Society , the Faculty of Arts , at Aarhus University at large, and beyond. Applicants should explicitly present their vision for the development of research
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on large-scale datasets to benchmark performance against existing methods. The position will involve collaboration with interdisciplinary teams, including experts in signal processing, natural
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when needed to ensure smooth execution - whether it’s preparing a programme workshop, supporting a large event day, or handling practicalities during community gatherings. You will be part of a team of
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about career paths at DTU here . Further information Further information may be obtained from Professor Yi Sun (suyi@dtu.dk ). You can read more about DTU Health Tech at www.healthtech.dtu.dk . If you are
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student with a background in biological engineering, biotechnology or similar. You will work under the supervision of Assistant Professor Raphael Ferreira on large-scale genome engineering in human T cells