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for monitoring, predicting, and managing extreme rainfall and its impacts on urban drainage systems are required. Weather radar observations and nowcasting techniques have become essential for capturing
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advanced analytical approaches, including deep learning and machine learning, to improve disease subtyping and risk prediction. You should have a strong willingness to learn, enjoy tackling challenging
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statistical modeling with clinical insight, aiming to improve risk prediction and inform sex-specific prevention strategies in atrial fibrillation patients. The research will be conducted in close collaboration
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for efficiency monitoring and fault detection, combining sensor data, system layout knowledge, and physical principles to extract spatial-temporal features and predict equipment behaviour; 2) Statistical anomaly
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repositories as well as internally produced datasets. The coordination will include code development, code review, package administration, and generation of interfaces (including graphical and command line
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having strong coding skills is a plus. You have documented scientific publications in the specific research area of the position, communicate clearly in English and can work both independently and in teams
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, or related areas. You need to be able to plan, conduct, transcribe, and systematically code interviews and focus groups with upper secondary students, teachers, and school leaders, and to translate
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methods (e.g., coding in Python/R, working with APIs, scraping data, building or applying models). • Can bridge theoretical insight with concrete technical implementation and empirical analysis. • Is
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may include literature studies, preparation of research instruments, support for data collection, organisation of research materials, transcription or preparation of qualitative data, preliminary coding