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) within Robotics, Computer Vision, Computer Science or similar and the candidate is expected to have a profound knowledge on the majority of the following topics: Image processing/computer vision Deep
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which allows to acquire knowledge in new experimental techniques and quantum matter physics. We offer: • A PhD Student position in an ambitious and supportive, international research environment • A
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dreams and ambitions, it is right here in front of you. The Technical University of Denmark, Department of Environmental and Resource Engineering (DTU Sustain) is looking for a PhD student in radiochemical
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on the following criteria: Profound knowledge in Operations Research, Management Science, Analytics, Data Science, Artificial Intelligence, and Behavioral Research Knowledge of and practical experiences with
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basic knowledge in glaciology or geodesy. Good expertise in programming, e.g. in Python, MATLAB, or other high-level programming languages. You must have a two-year master's degree (120 ECTS points) or a
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company, where you’ll take wind farm design and simulation tools to the next level. By fusing cutting-edge physics-based modeling with rapid, data-driven engineering, you’ll develop innovative solutions
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7 Mar 2025 Job Information Organisation/Company Technical University Of Denmark Department DTU Wind Research Field Engineering Physics Chemistry Computer science Researcher Profile First Stage
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qualifications: Master’s degree in engineering, preferably supported by first academic publications Documented knowledge in mechanical engineering Documented knowledge in industrial automation Documented
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Social Data Science, Computer Science or related areas. Besides showing experience with machine learning, including deep learning, the candidate should be able to demonstrate knowledge about human
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for the position. DTU Civil and Mechanical Engineering develops and utilizes science and technical knowledge for the benefit of society and sustainable development. We undertake research, education, innovation, and