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The SDU Adaptive Intelligence Lab (ADIN Lab) (https://adinlab.github.io/ ) located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA
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) An established international network and collaborative skills and relationships within Arctic science Competences in strategic scientific coordination, project management, and building research networks A strong
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a large network of researchers at Danish and international universities. Main supervisor is Associate Professor Prajakt Pande. About your responsibilities as a research assistant at CED Your primary
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infrastructure including compute servers and access to high-performance computing. The research climate invites for lively, open and critical discussion within and across different fields of research and a working
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Assistant Professor in statistics for the development of privacy-enhancing techniques in health care
Foundation Data Science Infrastructure Programme, “the National Health Data Science Sandbox”, a network of data scientists and researchers across five Danish universities building training and research
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facilities and technologies, situated in close connection to the research environment, and a comprehensive national and international research network and good industrial and professional collaboration. Please
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more than 200 affiliated laboratories in Denmark. The programme also includes active participation from neuroscience groups based at the university hospitals around Denmark as well as the Technical University
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Nordisk Foundation Quantum Computing Programme (NQCP) is establishing a talented and diverse international team to create a cutting-edge quantum programme in the heart of Copenhagen, Denmark. At the Niels
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Applications are invited for a 24-month research assistant position in the field of Aerial Robots at the Department of Electrical and Computer Engineering, Aarhus University, Denmark. Expected start
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one day a week on campus. Job description The computational biologist will be expected to: Lead the development of acoustic detection and classification algorithms for marine mammals. Evaluate algorithm