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-visible-spectrum reflectance). This project brings together statistical modelling of the data-generating process with machine learning, including deep learning, techniques, to model and predict bumblebee
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This is a full-time, funded PhD opportunity in the Faculty of Science and Engineering. It is open to both Home and Overseas students. Please note that only Home fees will be covered - eligible
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of Nottingham PhD Opportunity- UK Students only – not eligible for International students Health economic evaluation of community acquired pneumonia in the UK Project Description: Pneumonia is a common illness
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to support the development and delivery of online teaching. With a PhD, or equivalent experience, in Statistics or Computing, or a closely related discipline such as Mathematics, you will have a demonstrable
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This is a full-time, funded PhD opportunity, open to home and overseas students. Only home fees will be covered - eligible overseas students will need to make up the difference in tuition fee
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of online teaching. With a PhD, or equivalent experience, in Statistics or Computing, or a closely related discipline such as Mathematics, you will have a demonstrable ability to teach Statistics or Data
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Supervisory Team: Paul Kemp, Andrew Vowles PhD Supervisor: Paul Kemp Project description: Beavers are ecosystem engineers capable of modifying rivers to benefit biodiversity and humans, e.g. through
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normal horses will be subjected to detailed characterisation of their protein “fingerprint.” Advanced statistical methods will be used to identify proteins that might be diagnostically useful
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affect these trajectories using discontinuous growth modelling and/or other appropriate statistical analyses. Additionally, the student will conduct a qualitative interview study to understand
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led to the development of a key statistical tool that paired public sightings of suspected unowned cats with confirmatory data to enable robust estimates of unowned cat populations (termed an integrated