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. The processes will be studied using chemical and microbiological analyses, and there will also be opportunities to work with process modelling. Process microbiology. This project focuses on the microbiology
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, audio, and sensor data. These AI models move beyond conventional predictive and purely data-driven approaches by seeking to capture the underlying causal, spatial, temporal, and semantic relationships
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in predictions derived from medical reports, and on integrating these uncertainties into downstream probabilistic time-to-event models. Applications will focus on prostate cancer, using large-scale
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