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facilitate social inclusion and health outcomes. The PhD Project: This scholarship invites applicants to propose their own research program. Your proposal should build upon or take inspiration from Dr Em
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that are constructed in a way that is inspired by what we know about self-awareness circuits in the brain and the field of self-aware computing. The project will advanced state of the art AI for NLP or vision or both
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the power of LLMs to develop advanced computational methods for the detection and mitigation of misinformation and disinformation. More specific objectives are: To investigate the effectiveness of large
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models (e.g. tumour progression, tumour-drug sensitivity, survivability) by integrating multiple and heterogeneous data with associative data mining and ensemble learning methods.
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methods. In this work we study the effects putative NMDA antagonists xenon, a potent anaesthetic, and nitrous oxide, a weak anaesthetic, on anesthetic-induced changes in brain mechanisms and networks
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partially observable Markov decision processes (POMDPs). Methods in Ecology and Evolution , 12 (11), 2058-2072.
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. The Opportunity This interdisciplinary PhD project between IT and the social sciences will explore the development of computational approaches for detecting and analysing misogynistic backlash ecosystems across
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: Integration of methods such as federated learning, differential privacy, secure representation learning, or privacy-aware synthetic data generation to reduce patient-data exposure. Explainable Clinical Risk
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the School of Social Sciences. The project will focus on the lived experience and impacts of displacement linked to a community impacted by climate-related disaster. Using primarily qualitative methods
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Optimisation methods, such as mixed integer linear programming, have been very successful at decision-making for more than 50 years. Optimisation algorithms support basically every industry behind