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3.5-year D.Phil. studentship Supervisor: Dr Thiago B. Burghi This project will develop data-driven models for predicting seizure-like events in living neural networks. Such events can be induced in
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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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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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