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students. More information is available at: www.cs.aau.dk. The DESS group focuses on data-intensive systems, spatio-temporal data management, data analytics, and applications of machine learning
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design to improve on-site waste management The development and implementation of initiatives that enhance waste sorting quality and documentation practices The application of analytical, computational, and
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advance, CLASSIQUE focuses on a critical challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https
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degree in structural engineering or building physics, • has some years of postdoctoral research experience • is theoretically well-founded and has strong analytical skills for transforming new
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of mapping as an analytical and generative research method. Applicants must hold a Master’s degree in sustainability and planning, urban studies, sustainability and design, geography, or a related discipline
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fluorescence microscopy The candidate is expected to demonstrate independence in planning and executing experimental work, strong analytical skills, and the ability to collaborate in a multidisciplinary and
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across the range of modules offered on the LISE BA and CCG MA programs, e.g. experience with courses on European politics, policy analytical approaches, European public spheres • Be able to assist with
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Engineering, Science and Systems (DESS) research group focuses on data-intensive systems, spatio-temporal data management, data analytics, and applications of machine learning, with applications in digital energy and
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continuous improvement. Emphasis is placed on robustness/uncertainty, data quality, and translating analytical insights into strategic and managerial decisions. This domain links technology adoption with
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of Sustainability and Planning https://vbn.aau.dk/en/persons/jja This position is specificallyaboutmodellingcascading and compound impacts of climatechange on future Danish land use in which spatial data analytics