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Field
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behaviour in a practical, real-time monitoring system requires advances in both sensor engineering and behavioural data interpretation. This PhD project aims to develop a next generation environmental
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dynamics, and/or developing techniques for their efficient simulation. Exploring the interplay between quantum memory advantages and increased thermal efficiency in stochastic simulation and developing
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. J. & TOBIAS, J. A. 2021. The island rule explains consistent patterns of body size evolution in terrestrial vertebrates. Nature Ecology & Evolution, 5, 768-786. GILLESPIE, R. G. & RODERICK, G. K. 2002
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to work across the two sites. The project, entitled "Developing the next generation of antibody-oligonucleotide conjugates using divinylpyridimidine conjugation" is in the field of Synthetic Organic
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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mission. You will: Help collate data resources relevant to suicide and self-harm. Develop new machine learning methodologies (from artificial neural networks, decision trees, evolutionary algorithms and
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underestimated and hence scantly researched or developed. This project will characterise its behaviour, explore its possibilities and optimise its performance. Project Detail: Bamboo is a strong, fast-growing
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of neurodevelopmental epilepsy. Identification of common genetic mutations in specific genes has enabled precision diagnosis and more recently the development of genetic therapies. However, we lack the imaging tools