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We address a broad range of fundamental and applied evolutionary problems via the identification and analysis of genetic and phenotypic variability underlying biodiversity at all taxonomic levels
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Job Purpose To make a leading contribution to the development of innovative muon tracking algorithms for cutting-edge applied nuclear physics research. The successful candidate will be expected
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evolutionary inference, contextualising virus mutations and associated variants phenotypically with the purpose of predicting future evolutionary trajectories for viruses of pandemic potential and of strategic
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mix of algorithm engineering and formal methods, alongside more traditional software engineering activities. This project involves developing software which is both mathematically rigorous, and
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for AI based algorithms. Research experience in these areas will be highly valued. The successful candidate will also contribute to the formulation and submission of research publications, development
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programming, algorithm development, and mathematical modelling. C2 Research creativity and cross-discipline collaborative ability as appropriate. C3 Excellent communication skills (oral and written), including
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algorithms that work in-the-loop, and deliver empirical work and publications. Main Duties and Responsibilities 1. Take a leading role in the planning and conduct of assigned research individually or jointly
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aquaculture behavioural and physiological approaches to improved production and welfare of farmed fish evolutionary ecology, life-history trade-offs and phenotypic evolution long-term effects of early
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for a candidate who will complement our existing strengths in clinical veterinary medicine, evolutionary biology, animal physiology, aquaculture and microbiology and whose work contributes to our broader
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We take a highly interdisciplinary approach to the study of infectious disease that combines mathematical and statistical modelling with ecology, evolutionary biology, parasitology, immunology and