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focuses on developing cutting-edge statistical/machine learning methods for fitting complex, multi-institutional network models to partially observed hospital infection data. This research will directly
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computers”(under the UKRI Guarantee scheme). Topics include: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Quantum machine learning - Tensor Networks - Topological
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of applying geometric approaches and techniques to solve problems. Networking, actively engaging with and valuing other research areas. Published papers/preprints in relevant academic journals. Excellent oral
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Stetkiewicz, Assistant Professor of Sustainable Agricultural Systems, School of Biosciences at the University of Nottingham, and project partners at the British On Farm Innovation Network (BOFIN), using social
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seeking to regulate lender institutions. The main foundation of this system will be non-linear survival models with estimation using neural networks and XGBoost models. These are the most popular machine
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, including conducting surveys and interviews, publishing articles, and supporting scientific networks. Candidates should have a relevant PhD degree (or nearing completion) in development studies, human
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supporting scientific networks. Candidates should have a relevant PhD degree (or nearing completion) in development studies, human geography, rural sociology, anthropology, or political science; excellent oral
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communication and organisational skills. • The ability to work independently and as part of a multidisciplinary and multicultural team. • Networking, actively engaging with and valuing other areas and
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being engaged with an EDI interest group (e.g. Women in Research and the BME Staff Network). There is a single post to start immediately. This post will be offered on a fixed-term contract for a period of
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outreach and/or being engaged with an EDI interest group (e.g. Women in Research and the BME Staff Network). There is a single post to start immediately. This post will be offered on a fixed-term contract