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and different industrial outreach activities The candidate has at least the following qualifications - Applicants should hold a PhD in Computer Engineering, Computer Science, or similar - Cyber-physical
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-quality Danish registry data with links to data on researchers’ publications and research funding activities. The ideal candidate will be a recent PhD graduate with a deep interest in the economics of
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and fungal spores. The geographical focus is on both the urban environment and agricultural areas in Denmark • You will be contributing to the dynamical integration of near real-time data into WRF
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data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining, including XAI, as well as for data access and query processing. Aarhus
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Experience with synchrotron X ray scattering and/or XFEL experiments. Strong skills in crystallographic and scattering data analysis, including handling large datasets. Solid understanding of crystallography
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: Strong theoretical and empirical knowledge about inequality (required) Strong skills in quantitative methods with a focus on register data (required) Working with large datasets, including cross-walking
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quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40% of all employees are internationals. In total, it has
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an initial 3–6 months period in the lab at its currentlocation in New York City. This temporary placement will provide an opportunity to receive hands-on training in the methods important for the research
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. Qualifications Applicants at Postdoctoral Researcher level should hold a PhD in AI enabled learning, educational technology, information systems, computer supported learning, social entrepreneurship, innovation
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Sheet darkening, and relate them to ice melt at large spatial scales using remote sensing. The postdoc in this project will be the main responsible for the acquisition of data related to snow and ice