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statistical shape analysis, Riemannian geometry, time series and stochastic processes, and Bayesian statistics. Key responsibilities: To carry out research within the framework of the project, under
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statistical shape analysis, Riemannian geometry, time series and stochastic processes, and Bayesian statistics. Key responsibilities: To carry out research within the framework of the project, under
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use computational approaches to mine natural biodiversity in gene sequences to identify engineering targets to increase lipid content and enhance the water use efficiency. The project will make use
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evidencing: which scientific discoveries are more impactful than others; whether public attitudes to science change over time; how the public learn and talk about science; how different target groups respond
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and PhD students. Research spans a wide range. Current interests include: Bayesian statistics; modelling of structure, geometry, and shape; statistical machine learning; computational statistics; high
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molecular therapeutics. Their ability to target challenging biological sites and modulate intracellular functions¿capabilities beyond those of traditional small molecules and biologics¿make them a promising
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, maintenance of the cellular environment, behaviour and immunity. Carbon dioxide is a strategically important research target for crop responses to environmental change, insect-borne disease and public health
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LifeArc Centre for Rare Respiratory Diseases. We are looking for someone to join our team with expertise in genome editing or gene therapeutics that shares our bold ambition to target rare respiratory
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the ability to work on your own initiative and to act pro-actively. You will also be confident in the use of Microsoft Word and Teams, meeting targets, and with hybrid working. Experience of having
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audiences; and the ability to work on your own initiative and to act pro-actively. You will also be confident in the use of Microsoft Word and Teams, meeting targets, and with hybrid working. Experience