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This programme is designed for dissertation topics at the intersection of Philosophy and Psychology that would benefit from supervisors from both disciplines. Students in this programme specifically have a primary
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of the following: machine learning, deep learning, computer vision, omics data analysis. E3 Experience of scientific writing. E4 Proven ability to deliver quality outputs in a timely and efficient
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Science of Data Science and AI. The vision and aim of the Centre for Data Science and AI Fellowship scheme is to build capacity in data science and AI. We will welcome four CDSAI Fellows as a cross
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detection model to a more flexible unequal-variance model in a hierarchical Bayesian approach (Lages, 2024). Techniques used: Computational modelling, Bayesian inference, sampling and simulation techniques