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to learn from. Augment Data with Generative AI - You will use physics-constrained generative models (Diffusion models/GANs) to create a diverse library of synthetic microstructures, improving model
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environment A commitment to personal and professional development Key Contact For further information and informal enquiries regarding the role, please contact Lucy Doherty, Student Welfare Manager via
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staff supports the student lifecycle from enquiry and admission to enrolment, assessment and awards. The Registry is also responsible for student records including management information and student data
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Apply and key information Summary This MRes project will focus on the development and investigation of the health benefits of sustainable marine derived lipids. In particular, the project will focus
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ensure that they have the right to work in the UK or be able to secure this through another means without the sponsorship of the University. Further information about sponsorship is available on the UK
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evaluation to assess the effectiveness of different interventions. This will involve collating and analysing qualitative and quantitative data; identifying, summarising and presenting insights to help
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wishing to consider the SWR must ensure that they are able to meet the points requirement before applying. There is further information about this on the UK Visas and Immigration Website UK Visas and
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Studentship Information Supervisor: Professor Ian Fisk Secondary Supervisor: Dr Vincenzo di Bari, Dr Louise Hewson, Mui Lim Subject Area: Food Science Research Title: Sodium Reduction in Coated
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assessments to develop clinically useful tools throughout the continuum of treatment. The candidate will investigate and validate tools using clinical data, circulating tumour biomarkers and pathological data
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, educational achievement, emotional wellbeing, mental health, and quality of life. In this project we will use linked routinely collected health and education data to address gaps in our understanding about