249 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs in Denmark
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. They will develop new curricula and teach classroom-based as well as field-based courses and supervise students at all academic levels. Depending on research field, interest in collaborating with industrial
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scientific interests and priorities and they will establish a vibrant research group utilizing external funding. They will develop new curricula and teach classroom-based as well as field-based courses and
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Tenure-track Assistant and Associate Professorship positions in Algorithms at the Department of M...
interested in learning more about the position, please contact Head of the Algorithms Section Kim Skak Larsen at kslarsen@imada.sdu.dk. Conditions of employment Appointment as a Tenure Track Assistant
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Learning Experience Design The department offers an inclusive and international working environment with state-of-the-art facilities and strong traditions for collaboration across research groups
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testing and condition monitoring using modern machine learning, including multimodal foundation models and related data-driven and physics-informed approaches. Research topics may include visual and real
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on development of wave energy and offshore wind. Most of our research is focused around work in our wave flume and basin. Further description of the group may be found here: https://vbn.aau.dk/en/organisations
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Disentanglement of the Exceptional Biological Learning Machine, which is headed by Professor Jan Østergaard. The goal is to develop novel information-theoretic methods for identifying and analyzing temporal and
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school outreach activities. Teach in educational programs at the department, mainly within the pharmacy education. Participate in the daily operation, administration and further development
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see: http://ecos.au.dk/en/ . What we offer The department offers: A multi-disciplinary research environment collaboration within strong research teams with extensive experience in carbon flux research
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see: http://ecos.au.dk/en/ . What we offer The department offers: A multi-disciplinary research environment collaboration within strong research teams with extensive experience in carbon flux research