32 machine-learning-"https:" "https:" "https:" "RAEGE Az" Postdoctoral positions at Technical University of Denmark
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at the top venues of machine learning research. Responsibilities and qualifications You should have prior experience with machine learning from both a theoretical and practical perspective. Experience in one
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be to: Conduct multidisciplinary research (as explained above) Teach (and design) BSc and MSc courses, Supervise BSc and MSc student projects, Supervise PhD students as a co-supervisor for PhD students
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include: Supporting the delivery of the 3D-CIRCULAR master and doctorate programmes, including coordination of hybrid (online/in-person) teaching and supervision activities. Updating and refining learning
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motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning
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Job Description Are you burning for physics and how to teach it? Do you want to be a central part of developing new lab exercises for teaching quantum mechanics and electromagnetism at university
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Job Description Are you passionate about quantum physics and how to teach it? Do you have lab experience in quantum optics and do you like an engineering challenge? Would you like to play a key part
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read more about the section of Plasma Physics and Fusion Energy at https://physics.dtu.dk/research/sections/ppfe . If you are applying from abroad, you may find useful information on working in Denmark
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Professor Martijn Wubs (mwubs@dtu.dk ), Dr. Jake Iles-Smith (jake.iles-smith@sheffield.ac.uk ) You can read more about the Department of Electrical and Photonics Engineering at https://electro.dtu.dk
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career paths at DTU here . Further information Further information may be obtained from Prof Vincenzo Esposito at DTU Energy, vies@dtu.dk - https://orbit.dtu.dk/en/persons/vincenzo-esposito/ You can read