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. Prospective students can propose a topic within the broad field of accessibility and the built environment and/ or transport systems, or indicate an interest in an area that builds on APL’s existing work: first
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(PFAS) are thousands of pervasive chemicals that have been uncontrollably released to the environment well beyond the safety limits. Water utilities are facing critical challenges to maintain a reliable
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to assess the scalability and usability of the processes/technologies that they have demonstrated in a laboratory environment, expanding on the breakthroughs and key learnings discovered. Number Of Awards 1
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Award summary 100% fees (Home & international), a minimum tax-free annual living allowance of £19,237 (2024/25 UKRI rate), and a research training support grant of £20,000. Overview The PINZ CDT will train the next generation of process and chemical engineers, and chemists, to develop the new...
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to assess the scalability and usability of the processes/technologies that they have demonstrated in a laboratory environment, expanding on the breakthroughs and key learnings discovered. Number Of Awards 1
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nurturing and inspiring training environment to develop the independent future leaders we need who can translate research and innovation into practice. Find out more here: https://flood-cdt.ac.uk/ (FLOOD247
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nurturing and inspiring training environment to develop the independent future leaders we need who can translate research and innovation into practice. Find out more here: https://flood-cdt.ac.uk/ (FLOOD248
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nurturing and inspiring training environment to develop the independent future leaders we need who can translate research and innovation into practice. Find out more here: https://flood-cdt.ac.uk/ (FLOOD241
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from our broader themes will be involved in supervision: Safer management of polypharmacy in MLTCs Safer integrated health and social care environments Safer management of MLTCs in disadvantaged
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environment; Development of an artificial intelligence model; Machine Learning of the AI-model. The ultimate objective is to generate an AI-solver for practical applications in container securing and stowage