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To make reliable predictions and analyses of air pollution, data assimilation methods, which integrate observational data into model simulation to update the model state and the underlying
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combines large language models, real-world data, behavioral science, and theory-driven modeling to build realistic and interpretable simulations for emergency planning and risk communication. The student
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computer vision methods such as large-language models and vision-language models for high-throughput analysis of video data. Apply data-driven dynamical system modeling tools using specialized software
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) investigates the chemistry and transport of trace substances in the troposphere. To this end, field and simulation chamber experiments as well as model simulations are conducted. Our research in the “Atmospheric
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cellular and animal models of cardiopulmonary disease and performing molecular biology, cell biology, histology, microscopy, and physiological experiments. • Design a method to isolate pulmonary vascular
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Summary Seeking one motivated engineering graduate student to support a research project on Multiphysics modeling and insulation design optimization of glass melting furnaces. The project focusses
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and screen genetically encoded peptide libraries in cancer cell models, with the aim of identifying molecules and mechanisms that influence cancer cell behaviour. The role offers an excellent
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evaluation activities across the Centre, in accordance with the Theory of Change and evaluation protocols Undertaking evidence reviews Promote equality and value diversity, acting as a role model and fostering