82 programming-"the"-"DAAD"-"IMPRS-ML"-"U"-"RAEGE-Az"-"P"-"https:" "Technical University Of Denmark" positions
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at Rigshospitalet. This initiative is part of the Technical University Hospital (TUH), a strategic partnership between the Technical University of Denmark (DTU) and The Capital Region of Denmark (Region H). Based
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magnetic refrigeration device based on a novel concept. 205 years ago, the founder of the Technical University of Denmark, Prof. H.C. Ørsted, discovered the link between electricity and magnetism. Since
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competences across multiple (business/ economics) engineering programs. To do so, you will: Advance the research field by identifying knowledge gaps of scientific, academic, and industrial relevance, with
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at the Lyngby Campus of the Technical University of Denmark. We link natural science closely with the development of new technology. DTU Space is involved in the full life cycle of space activities, encompassing
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talented and ambitious PhD student to join our Hospital-at-Home (HaH) project. The Department of Technology, Management, and Economics at Technical University of Denmark (DTU Management) invites applications
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physiology Language skills (English) Intermediate programming skills (R, Python or Matlab) Creative thinking Level of enthusiasm and motivation As a formal qualification, you must hold a PhD degree (or
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including GNNs, generative models, or foundation models). Scientific software development, high-performance computing and data infrastructure. Are comfortable programming in Python and working with modern
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of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Dr. Stefano Donati. Key selection criteria: Professional qualifications
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. You will be affiliated with the Intelligent Transport Systems section at the Department of Technology, Management and Economics (DTU Management) of the Technical University of Denmark. The position is
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functions at the Centre with assistance in areas such as statistics, programming, analytics, and machine learning. Education: developing a training program focused on data science literacy, guiding