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. Required qualifications: A Ph.D. degree in Computer Science, Data Science, Software Engineering or related field. Solid research experience with using Large Language Models. Solid programming expertise in
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in glaciology, Geodesy, Earth sciences, remote sensing, or a related field. Strong skills in data analysis, programming, and handling large geospatial datasets are essential. Experience with satellite
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maintenance of the SmartSleep data infrastructure. Explore and apply methods for health-complexity research based on the large quantitative data recourses in the SmartSleep study combining, e.g., methods from
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meetings Potentially participate in Arctic field campaigns Be working with large data sets and developing algorithms. You should be highly motivated, self-driven, and possess strong work ethics, team spirit
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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well as abroad. Your primary tasks will be to: Using automotive lidars for detection of wind turbine blade deflection Development of efficient ways to analyze the automotive lidar data Develop the technology to
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this project, we will develop neural diffusion techniques to design materials with targeted optical properties, scaling to large systems through efficient representations and GPU parallelization. We will also
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SAXS and Large scale facilities SAXS (from proposal writing to execution of experiments and data analysis for the latter) Experience with protein purification Advanced knowledge in research design and
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on large-scale datasets to benchmark performance against existing methods. The position will involve collaboration with interdisciplinary teams, including experts in signal processing, natural
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about large challenges and enjoy solving them, have an extraordinary drive towards achieving groundbreaking results, love physics discussions and participating in thoughtful conversations, make things