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be testing and optimising predictive models for use in realistic healthcare settings. This studentship will suit a student interested in working in health data science, particularly with an interest in
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for rare or threatened animals (the “long-tail” problem). Moreover, current models give little indication of when they might be wrong, restricting their use in conservation. This PhD will tackle both issues
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decisions. Modelling wealth and income flows within Cornwall and how these may be modified to be in better service to the natural environment and society at large. Asking: Is the local tax system adequate? Is
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this information affect behavioural decisions before and during combat? This PhD project will tackle these questions using a combination of evolutionary modelling and behavioural experiments in a wild population of
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of their impacts and how to quantify them. There have been attempts to estimate impacts based on empirical approaches (e.g. Bradshaw et al. 2022), while dynamic process-based models are also known
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Hazard Maps, Global Wildfire Information System (GWIS) and Global Drought Observatory. The DR would co-develop the research objectives. Some ideas to discuss include (1) incorporating predictive modelling
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practical applicability. Whilst most research projects on this topic are restricted to the use of synthetic Li-bearing brine samples, which do not accurately reflect the complex geochemistry of real brine
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and identifying gaps in risk assessment. The Doctoral Researcher will influence the research direction, sampling design, analytical method selection, and interpretation of complex datasets. They will