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? And would you like to be part of a newly formed research collaboration between DTU and Novo Nordisk? Then you could be our new Ph.D.-student. Read on to learn more! About the PhD program - Closed Loop
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Job Description Are you experienced in deep learning, computer vision, and probabilistic modeling? Join our high-profile EU consortium for the AUTOASSESS project at DTU Electro, where we have
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computational science, polymer chemistry, materials science, or environmental science (ideally a combination of one or more of these). Strong analytical skills. Excellent communication skills in English, both
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by the EU Horizon program, you will have the opportunity to develop and utilize cutting-edge smart materials (e.g., metal-organic frameworks) to design a groundbreaking air-cleaning system that can
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to enhance efficiency, power density, and performance in applications such as high-performance computing (HPC) systems and artificial intelligence (AI) accelerators. Responsibilities and qualifications As a
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our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be performed by Professor
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Job Description We are seeking a candidate for a 3-year PhD program as part of the European Marie Skłodowska-Curie Actions Doctoral Network on “Airborne Wind Energy TRAining for Industrialization
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our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized
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Investigator program “Power efficient fiber-optic communication (POPCOM). The position is focused on developing machine learning frameworks, in terms of constellation and pulse-shaping, as well as equalization
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. Experience with simulation tools, including Isaac Gym, Isaac Sim, Aerial Gym. Experience with ROS, and especially real-life aerial robots. Experience with open-source tools for deep learning, computer vision