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of Bedfordshire's applied AI ecosystem. Luton AI brings together academic research, specialist facilities, external partners and real-world projects to support the responsible development and practical application
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maintaining accuracy. Although such approaches are widely used, there is still much theoretical development needed to assess the accuracy and efficiency of these approaches. This project therefore seeks
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of Manchester with forging simulation, both experimental and computational, to understand and predict microtexture evolution during processing. The balance between experimental and computational research will
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Institute of Therapeutic Immunology & Infectious Disease (CITIID). You will also spend time in the research group of Prof. Katja Röper (Department of Physiology, Development and Neuroscience). You will
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within the horizon scanning and foresight space to inform policy and decision-making. It is expected to include a range of research methods and the development of frameworks or tools to support adoption
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, geological maps and reservoir property datasets. A further outcome will be the development of an improved regional screening workflow that integrates geological characteristics with existing offshore
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studies, and reproducible open-source software development. TRAINING AND RESEARCH ENVIRONMENT: The student will join the Department of Public Health and Primary Care and become part of the multidisciplinary
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be the development of reactions that are not only effective, but also safe, non-toxic, and fully compatible with existing hair care routines. This interdisciplinary project will appeal to candidates
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, 1.5-spacing, 2-inch margins. Indicative contents: research context/rationale, literature review, research questions, proposed methodology, expected contribution of the project. Development of research
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. The project will investigate chemistries for the selective covalent modification of the hair surface, enabling durable repair and functional enhancement. A key focus will be the development of reactions