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across the spectrum of areas within Pure/Applied Mathematics and Statistics. It is currently organised into seven research groups: Algebra and Number Theory; Combinatorics; Complex Systems and Networks
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across the spectrum of areas within Pure/Applied Mathematics and Statistics. It is currently organised into seven research groups: Algebra and Number Theory; Combinatorics; Complex Systems and Networks
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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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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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in securing research funding is essential, as is demonstrable expertise in complex modelling techniques such as machine learning, network neuroscience, or related computational approaches. You will
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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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to communicate with clarity on complex information. Excellent communication skills in Chinese is a plus. Ability to build relationships and collaborate with others, both internally and externally. About Us Join a
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be part of a collaborative, interdisciplinary team working across the UK and EU, with access to real-world pilot sites and a network of academic, industry, and community. The Role: As a Research Fellow
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Full-time: 35 hours per week Fixed-term: 13 months The opportunity: Conduct original research on neuronal networks underlying the processing of natural visual stimuli, using in vivo large-scale two
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complex information in English effectively in oral and written format. Ability to build relationships to develop internal and external networks. Commitment to continuous professional development