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combination treatments, where time-varying confounding, competing risks, treatment non-adherence and time-related biases challenge conventional analyses. By integrating mathematics, biostatistics and clinical
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BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and
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Professor Aldo Faisal from Imperial College London involved as international project partner. Research objectives and tasks You will contribute to the development and empirical validation of models
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-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis
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Your day-to-day research will move between theory, modelling and real systems. You will build mathematical and physics-based models of complex thermal systems. You will develop reduced order
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drought early warning and monitoring system for large-scale river basins. The project will explore both data-driven and model-based approaches for drought predictions, paving the way for a continental high
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, mathematics, biology, and epidemiology, developing and applying novel statistical methods and deep learning approaches for global health challenges. The group’s research spans disease modelling, genomic
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to the development of next-generation wave energy converters through a combination of modelling, uncertainty quantification, experimental testing, and digital-twin methodologies. The stipend is open for appointment
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PhD fellowship in fault tolerant quantum algorithms PhD Project in state preparation, observable extraction or noise modelling Niels Bohr Institute Faculty of Science University of Copenhagen
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describing the changes in blood due to pre-analytical errors, and build mathematical models to describe these changes. This work can have real clinical and commercial impact, potentially resulting in digital