50 machine-learning "https:" "https:" "https:" "https:" "U.S" positions at Aarhus University
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Society at the Department of Food Science, Aarhus University ( http://food.au.dk/en/foodresearch/science-teams/food-quality-perception-society/ ). The focal area for the position will be different tasks
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, operation, monitoring, control and optimization of chemical, physical and biological processes. Read more about the department and section: https://bce.au.dk/en/research/key-areas-in-research-and-development
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of the Classical Archaeology programme: https://bachelor.au.dk/klasark/ . A keen interest in teaching Greek and Roman antiquity in collaboration with colleagues in philology. The ability to co-teach courses with and
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: https://ece.au.dk What we offer The Department of Electrical and Computer Engineering offers: An exciting opportunity to work on cutting-edge research in IoT systems and critical infrastructure monitoring
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is co-funded by departments of CC and CS. The daily work will happen in the context of CCTD and more specifically, The National Knowledge Center for Digital Technology Comprehension https
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and Teaching, is available at: https://dpu.au.dk/en/research Teaching The selected applicant is expected to have solid experience of teaching at university level and should be prepared to teach and
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refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences
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about entering and working in Denmark here: http://international.au.dk/research/ An appointee who does not speak Danish will be required to acquire proficiency in Danish equivalent to level B2 (CEFR
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of composite materials, interface design, fracture mechanics, contact and friction, tribology, damage tolerance and reliability of layered materials, machining of metals and composites. 2. Fluid Mechanics and
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning