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-traditional, e.g., event data) and network structures (for sensor networks). In this project, we will investigate Bayesian deep learning approaches to training models under uncertainty for several sensing
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project to develop a systematic framework for reconstructing the evolutionary histories of pathogens. The role involves using viral sequence data and models of sequence evolution to investigate both
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of mole activity and soil health and biodiversity, collecting data on visitor perceptions of moles and their management, and analysing findings using statistical modelling approaches. The role provides
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, theoretical models and data analysis. Responsibilities will also include assistance in the day-to-day maintenance of the experimental facilities, liaising with external collaborators, assisting in
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variety of model systems give the impression that the mechanisms underlying division are shared between cell and organism types. However, work using temperature sensitive mutants in the early embryo
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variety of model systems give the impression that the mechanisms underlying division are shared between cell and organism types. However, work using temperature sensitive mutants in the early embryo
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this hydrogen generation model with the ammonia synthesis module. Find out more about the Hayward research and group at: https://www.chem.ox.ac.uk/people/mike-hayward. About you Applicants must hold a
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About The University Swansea University is a research-led university that has been making a difference since 1920. The University community thrives on exploration and discovery and offers the right balance of excellent teaching and research, matched by an enviable quality of life. Our stunning...
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organoid and across organoids, enhancing our theoretical understanding of the emerging information content within the single organoid and across the array, through the development of analytical and modelling
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, advanced imaging techniques and numerical modelling. About the role A successful candidate will be working on the EPSRC funded project New perspectives in photocatalysis and near-surface chemistry: catalysis