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group specializes in experimental quantum technologies spanning quantum information processing, quantum communication, and precision sensing. In this PhD project, you will work at the forefront of solid
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Identification System (AIS) for ship detection. You must be fluent in English, both speaking and writing and possess excellent communication skills. As part of the Danish Ph.D. program, you will follow a number of
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collaborations, strive toward scientific excellence, be highly motivated, ambitious, and hard-working. Good communication skills in written and spoken English are required. The groups are ambitious and strive
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architectures. You will be seconded to the Technical University of Munich during the project. The contributions will include: Conducting cutting-edge research in IoT and Wearable Systems, Communication, Sensing
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the close relationship between society and the business community. As part of a Top 100 university, Aarhus BSS, and specifically the Department of Management, has achieved the distinguished AASCB, AMBA and
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communication skills in both spoken and written English, and experience in working independently and in a team. – see comment We offer DTU is a leading technical university globally recognized for the excellence
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. Qualifications: Background in data science Interest in physics-informed machine learning Strong written communication skills Enthusiasm for interdisciplinary collaboration Strong team spirit Experience with metal
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-matter interactions for applications in sensing, optical communications, and quantum technologies. The scientific environment at our department is vibrant and highly collaborative with world-class
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is highly desirable. The candidate should have good analytical skills as well as good communication skills in English. You should have completed a two-year master's degree (120 ECTS points) in
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skills as well as good communication skills in English. You should have completed a two-year master's degree (120 ECTS points) in Mechanical, Production, Materials, Industrial or Robotics Engineering