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craft disciplines, particularly at MFA and BA level. Teaching and Assessment As directed by the Head of the School of Arts and in collaboration with the other FdA Subject Leaders, plan and manage the MFA
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This PhD studentship is an exciting, fully funded opportunity to work as part of an internationally renowned scientific and engineering team to develop a new innovative technology to meet and
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to 7 hours per week teaching or research support within the University. Please demonstrate the following criteria in your application: Relevant undergraduateor postgraduate degree Data collection and
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to develop models towards human neural spheroids and/or organoids, and use these “mini-brain” platforms to generate infiltrative tumours using patient-derived GSCs. The model will then be validated as a more
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to the sites. The candidate will be part of the PINZ CDT which aims to train the next generation of process and chemical engineers, and chemists, to develop the new processes, process technologies and green
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Machine Learning techniques to this data to extract the essential information contained within these trajectories. This will be achieved through the following steps: Develop tools to efficiently generate a
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status of human populations (McDonald & Skillings 2021). Subsequently, a dynamic cat population modelling project was launched at Cats Protection, which aimed to develop a flexible tool for modelling cat
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for practical implementation of ADR in the South African and UK contexts. The research project proposes to research, develop, implement and test control and informatics concepts for an energy management system
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spectroscopic/imaging methodologies. During years 2-4, the student will be based at Porton Down to develop in vitro co-culture models, perform drug experiments, and characterise biofilms. In years 2-4 the student
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Background The project will investigate the coping strategies and health-related quality of life for those living with the eye condition nystagmus, with the goal to develop a self-care intervention. Nystagmus