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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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experiments, behavioral research, econometric and causal inference approaches, optimization and analytical modeling, and data-driven techniques such as machine learning and large language models. Our work is
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, network analysis, or machine learning are a plus Good organisational skills and ability to work both independently and collaboratively Effective communication skills and an interest in contributing to a
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machine learning to support early detection and prioritisation of patients at risk of vision loss. The role involves leading PPIE activities to ensure that patient perspectives and lived experiences shape
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for the future grid, Research, acquisition, organization, and analysis of large data sets Executing models, analyzing, and interpreting results Project coordination with teams Researching, acquiring, organizing