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Apply and key information This project is funded by: Department for the Economy (DfE) Summary This PhD project offers an exciting opportunity to develop next-generation biocomposites made from
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, financial technology, policy analysis, or academia. Ideal candidate: Background in computer science, data science, finance, economics, or related quantitative fields. Strong programming skills (Python/R
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peacebuilding, conflict or the welfare state) or involve other disciplines, including but not limited to peace and conflict studies, social policy, political science, computing and film. A PhD may only be
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and beyond. Important Information: Applications for more than one PhD studentship are welcome, however if you apply for more than one PhD project within Biomedical Sciences, your first application on
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academic papers in top AI and finance venues. We welcome applicants with backgrounds in computer science, artificial intelligence, or computational modeling. Skills required of the applicant: Essential
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for more than one PhD studentship are welcome, however if you apply for more than one PhD project within Computing, your first application on the system will be deemed your first-choice preference and further
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industry and clinical collaborators. Applicants must have at least a 2.1 undergraduate degree in bioinformatic, computer science, biomedical sciences, biochemistry, or a related discipline, along with some
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improving water quality management. Important Information: Applications for more than one PhD studentship are welcome, however if you apply for more than one PhD project within Biomedical Sciences, your first
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food intake is reduced and the signalling pathways of the appetite centres of the brain involved. This PhD programme will evaluate changes in appetitive and consummatory behaviours in individuals
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Development of smart clothing for physiological monitoring of children with heart conditions at home
system for paediatric cardiac patients is essential for optimising treatment outcomes. Therefore, a PhD project is proposed with a multidisciplinary approach that combines design, materials science