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medieval period has received limited attention. By using the new data from two case-study regions (southeast and southwest Wales), this studentship-project aims to provide a new narrative of interaction
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V236E (ε3), which reduce the risk of AD by 2–3 times. This project will use bioinformatics and big data and induced pluripotent stem cell (iPSC) models —cells generated in the lab that can mimic brain
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interactions of additives affect macroscopic droplet behaviour, especially in relation to colloidal particles and surfactants. This PhD project is linked to other ongoing projects in Warwick and elsewhere, which
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) or part-time (8 years). The Project and the Award Full details of the project and the award can be found at the link: https://jobs.nottingham.ac.uk/Vacancy.aspx?ref=ARTS124 Eligibility This studentship is
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PhD Studentship: Optimisation of Liquid Metal Filtration and Cleanliness in Nickel Based Superalloys
-supervision by Dr Mark Hardy. The industry aligned EPSRC DigitalMetal CDT offers a four year training programme on integrating data driven with physics-based models of products equipping students with
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environments for Machine Situational Awareness, particularly within contested, congested and degraded scenarios. Fully autonomous robust intelligence data processing to significantly reduce the reliance upon
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quantitative and qualitative data. This project is likely to involve undertaking a systematic review; interrogating and analysing large-scale healthcare datasets; and using qualitative methods, such as
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advertisement data, and examination of geographical dimensions of firm-level recruitment strategies. The doctoral project will apply sophisticated identification strategies to evaluate the causal impact of
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, background knowledge relevant to understanding the molecular links between genes and obesity is more important. We are a small group with diversity of background, interest and experience in which wider
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hormone testing data. This project aims to demonstrate that frequent hormone monitoring, combined with education and symptom monitoring, will improve diagnostic accuracy and improve treatment selection and