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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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outputs in lidar technology and real-time wind-field reconstruction. Expert in wind turbine response analysis. HAWC2 user expert. Demonstrated expertise in data analysis and signal processing with large
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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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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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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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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
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, which greatly increases the complexity and cost of making such measurements. Therefore, research on alternative methods to detect tiny magnetic fields is a top priority. In a large Novo Nordisk Foundation
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about career paths at DTU here . Further information Further information may be obtained from Professor Yi Sun (suyi@dtu.dk ). You can read more about DTU Health Tech at www.healthtech.dtu.dk . If you are
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Job Description If you dream about helping secure the green energy transition by developing technologies for power and energy system resilience, such as large-scale energy conversion and storage
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work in close collaboration with a large, interdisciplinary team of quantum scientists, engineers, and biomedical researchers. Your key responsibilities will be to: Conduct research that will bridge