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detector models and training artificial neural networks (ANN) using synthetic data for advanced radiation sensor readout. Responsibilities and qualifications Key Responsibilities: Further development of a
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printing and make more efficient, lower noise and higher power PICs. You will get to work in our large cleanroom mostly on III-V compound semiconductors and be part of a strong team. Responsibilities and
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of the capacity of this large program, you will work in close collaboration with two PhD students on that particular project as well as the rest of the research group at DTU Physics that counts a total of 56 people
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on the most advanced theories, models, using first-hand cases and data from the wind energy industry, to lift our understanding of wind and wave characteristics during storms in the presence of wind farms
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applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute
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of August 2025 or according to mutual agreement. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor Andreas Kaiser, akai@dtu.dk
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of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 2,5 years. You can read more about career paths at DTU here . Further information Further
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qualifications: Experience managing or coordinating large research initiatives, or complex projects, preferably in a university setting. A MSc or PhD degree, preferably in a relevant field, such as biology
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responsible for and implement health & safety procedures, with special focus on ensuring both physical and psychological work environment Preparation and implementation of quality and data management procedures