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several research groups in pure and applied mathematics and offers a dynamic and collegial academic atmosphere. More information about the department can be found at https://math.au.dk . Place of Work and
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, or a related field) A relevant MSc degree (e.g., Computer Science, Software Engineering, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field) Strong skills in machine
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research activities and to Aalborg University’s long-standing tradition of Problem-Based Learning, which encourages student engagement through project work and real-world analytical challenges. We strive
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well as experience in automated fabrication and mechanical characterization. A solid background in modelling and system identification is essential, with particular emphasis on data-driven and machine-learning–based
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and applied mathematics and offers a dynamic and collegial academic atmosphere. More information about the department can be found at https://math.au.dk . Place of Work and Area of Employment The place
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department project that develops lifelong learning opportunities in digitalisation for wind energy. In this role, you will take the lead in defining and executing communications and marketing priorities
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mechanics, vibrations, and their active control, as well as machine elements and design optimization. The section has a scientific staff of about 25 people and 20 PhD students. The research rests
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statement CV including employment history, list of publications (applicants applying for the position as associate professor should indicate scientific highlights), H-index and ORCID (see http://orcid.org
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role will be vital to the success of the newly established DTU Arena for Life Science Automation (DALSA; https://dalsa.dtu.dk/ ). Together with a multidisciplinary team, you will implement DALSA’s
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of the hospitals. The advertisements for the consultancies are available at: Copenhagen University Hospital – Bispebjerg and Frederiksberg: https://www.sundhedsjobs.dk Copenhagen University Hospital – Herlev and