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to create a steady flow of 1000 Bar low voidage emulsion (particle voidage greater than 40%). Alternatives include a high-pressure pump or batch filling and depressurising into a buffer / separation vessel
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to create a steady flow of 1000 Bar low voidage emulsion (particle voidage greater than 40%). Alternatives include a high-pressure pump or batch filling and depressurising into a buffer / separation vessel
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spectroscopy and HPLC), organic synthesis, electrochemistry, hydrogel soft matter and modelling. You will be mentored by Dr. Maguire and will learn how to design and manage projects, how to conduct research, how
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the supervisors, Dr Lewis - david.lewis-4@manchester.ac.uk and Prof Freer -robert.freer@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant experience and
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. It is essential that they are knowledgeable in current behaviour change science and techniques and specifically have experience of designing topic guides and administering in-depth, semi-structured
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powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
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with a surface. This project will involve using and further developing both the experimental and data analysis methods that are currently used within the research team. The student will learn how to use
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resistivity. The aim is to accelerate the commercialization of next-generation sodium-ion batteries. This scholarship covers the full cost of tuition and annual stipend at standard UKRI rates (currently £20,780
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applicants embarking on a brand-new LSBU research programme—current PhD students and LSBU staff members are not eligible for this award. Why choose LSBU for your doctoral journey? LSBU is a dynamic, applied
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-temperature resistance, dimensional stability, or chemical compatibility. However, current research into circular design and end-of-life strategies often overlooks the unique recovery and regeneration challenges posed by