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interested in improving our understanding and mitigating the environmental impacts of data centres and artificial intelligence. Primary role will be to lead projects improving how computing environmental
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medieval period has received limited attention. By using the new data from two case-study regions (southeast and southwest Wales), this studentship-project aims to provide a new narrative of interaction
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quantitative and qualitative data. This project is likely to involve undertaking a systematic review; interrogating and analysing large-scale healthcare datasets; and using qualitative methods, such as
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will hold a relevant PhD/Dphil in statistics, machine learning or similar area, together with relevant experience working with brain imaging data and possess sufficient specialist knowledge in brain
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, background knowledge relevant to understanding the molecular links between genes and obesity is more important. We are a small group with diversity of background, interest and experience in which wider
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environments for Machine Situational Awareness, particularly within contested, congested and degraded scenarios. Fully autonomous robust intelligence data processing to significantly reduce the reliance upon
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hormone testing data. This project aims to demonstrate that frequent hormone monitoring, combined with education and symptom monitoring, will improve diagnostic accuracy and improve treatment selection and
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research into a variety of ethical, pastoral, social and ecclesial issues. Please follow the link for information on the interests of the Lincoln Theological Institute. The successful candidate will be
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. A particular focus will be on the soil micro-structure evolution and how this links to macro-scale behaviour, using advanced laboratory tests, imaging techniques, and computer simulations. The
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local clinical strategies for patient care. To do this, advanced molecular, sequencing and bioinformatic tools will be utilised alongside clinical data that will provide a link between genomic and