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of extrusion systems, reinforcement strategies, construction detailing, and construction scale experiments. RA3) Machine Learning and Optimisation for Digital Construction: Data-driven and simulation-based
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science. Teach relevant courses, supervise BSc, MSc and PhD students, and mentor postdocs and tenure track assistant Professors. Contribute to the strategic development of the department’s research and
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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 position will be affiliated to science-based advice
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, machine learning tools, and simulation techniques. If you thrive at the intersection of engineering, data, and advanced computational science, this position will allow you to contribute meaningfully
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deliverables with high standards of accuracy and clarity. Teach and supervise BSc and MSc student projects, and be co-supervisor for PhD students We are looking for candidates with: Skills in molecular biology
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intelligence, and research software engineering, and is interested in developing robust, transparent, and sustainable computational tools. Experience with first-principles electronic structure methods, machine
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science. Teach relevant courses, supervise BSc, MSc and PhD students, and mentor postdocs and tenure track assistant Professors. Contribute to the strategic development of the department’s research and
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polar orbit, passing near the poles about 15 times per day and regularly observing the CIFAR study region. Its payload - two optical cameras, a thermal camera, and onboard machine-learning capabilities
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challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a
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% of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique