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Field
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including predictive modelling, computer vision and epidemiology. The student will join an established team of investigators, including statisticians, epidemiologists, image scientists, and clinicians
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evaluation, policy advocacy, or better understanding the contexts and causes of such abuse. The student will use advanced data science and applied statistics to enable combined analysis of different modes
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questions for research interviews. Conducting a series of semi-structured interviews at UoN. Transcription and analysis of qualitative data. Attending research team meetings. Contributing to publication
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fine-scale, fully distributed hydrological modelling, with the ultimate goal of optimising NFM strategies in moorland, to improve flood resilience for rural, upland communities. The studentship will be
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assessment. Stress testing & model robustness. Generative imaging models. Please see job description for a full list of requirements. *Candidates who have not yet been officially awarded their PhD will be
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and inclusive leader in sustainable aerospace technologies. Designing future carbon-neutral aircraft requires advancements in power density, materials, technologies, and diagnostics. Developing
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search strategies 3) How to leverage the spatio-temporal diversity of multistatic radar observations At the end of the PhD an over-arching modelling environment will be built, where the parameters above
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transformer in operation. On the other hand, the Total Cost of Ownership (TCO) model is widely used to measure the whole lifetime cost of the transformer. In addition to the capital cost, cost of losses
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and modeling methodologies to address the significant concern of CRUD deposition in water-cooled reactor technology, particularly in Pressurized Water Reactors (PWR). Significance: CRUD deposition is a
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Dr. Seaborn (katie.seaborn@cst.cam.ac.uk ) in advance to assess topic and background fit. Please include a CV and 1-page research statement that shows evidence of engagement with this advert and Dr