143 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" positions at Technical University of Denmark
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mathematics, or a related field. The candidates for the PhD position will be assessed on the following criteria: Strong skills in probabilistic modelling, machine learning, or simulation techniques. Programming
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images. Close collaboration with the rest of our interdisciplinary team at DTU Construct and Vistacon, particularly the other postdoc position focusing on image analysis using deep learning. Please see
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within deep learning, big-data, computer vision, or related fields, as well as experience in in-line process monitoring or similar areas. Preference will be given to candidates with competence in concrete
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(e.g. using COBRApy or related toolboxes), or a strong motivation to develop this expertise. Data science, AI/ML, and digital surrogate models Experience with data science and machine learning, including
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university with a global learning environment, which equips its graduates with strong skills to work globally. The office is divided into four teams – and you will be placed in the MSc admissions team, which
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? The Research Group for Global Capacity Building at the DTU National Food Institute, is seeking a motivated colleague to join our team in the development of an interactive, game-based learning platform
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Job Description These days, the inner workings of molecules and materials can be probed and modelled by advanced simulation tools on modern computer architectures. However, the routine applications
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are: EuroTeQ Campus: a virtual course catalogue EuroTeQ Collider: a challenge-based learning experience DTU International Partnerships is looking for a student assistant who takes responsibility for tasks
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like additional information about the position, please contact head of team Mattias Andersson on 93 51 18 01. To learn more about the department, visit DTU Wind . Please note that applicants may be
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intelligence while preserving human agency. The group’s research spans mechatronic system design, system modeling and learning, control theory, and system supervision, with applications across domains including