30 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" uni jobs at Aalborg University
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of Engineering programme as Associate Professor in AI and Computer Vision. You will play a central role in educating future engineers, combining deep technical expertise with close interaction with students in a
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to shared tasks within the section and department, including industry collaboration, study programme development, and supervision of projects associated with externally funded activities. Your competencies
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interdisciplinary or problem-oriented research and innovation and have impact in the wider world. For more information about the research group, please see CLD’s website: https://www.dcc.aau.dk/research/research
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, building, and proving that systems work in real life. You combine modelling and programming abilities with hands on engineering skills, and you are comfortable working in laboratory environments where
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external research funding from national and international sources. Educational tasks involve teaching within the Medialogy program at the AAU Copenhagen campus. This includes delivering courses and teaching
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obligations at both undergraduate and master's level, including supervising PhD’s and master thesis students as well as other related work at the department and educational programs. The philosophy of teaching
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more about AAU Energy and the research groups at AAU Energy: https://www.energy.aau.dk/ The mission is to be world leading in both research and research-based education of the energy engineers
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education programme at AAU’s Copenhagen campus and spans a broad range of computer science research. The two positions in this call will strengthen the section’s profiles in Probabilistic and Symbolic AI
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Data-driven Organizational Development, Master of IT and/or related programs that examine contemporary technological opportunities, challenges and concerns by means of SSH theory and methodology
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Assistant Professor in statistics for the development of privacy-enhancing techniques in health care
Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D)” which is a collaboration between Head of Center and Professor Martin Bøgsted, Center for Clinical