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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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London School of Economics and Political Science; | London, England | United Kingdom | about 1 month ago
entail close collaboration on a number of new and ongoing projects on a broad range of topics in applied microeconomics, development economics and political economy, using “big data” and experimental and
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policy evaluation as well as having interest and some experience in economic analysis. Please see the Job Description for more information. You will have had experience of: Working with qualitative and
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programme. The primary objective of this team is to improve population health and reduce health inequalities by helping to enhance the efficiency and equity of national health care provision through 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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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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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