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Do you have a strong background in mechanics, manufacturing, robotics or machine learning? Are you looking to apply your expertise in industry? The University of Leeds and Morvern Group Ltd. have an
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within our award-winning Digital Education Service. If you're passionate about leveraging digital technology to enhance learning experiences and eager to gain professional experience in a dynamic
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) at the University of Leeds is at the forefront of transforming teaching and learning through innovative digital solutions. Our pioneering service is committed to enhancing the educational experience for students and
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Internal applicants - current employees of LICTR only Are you passionate about providing development & learning opportunities for people working in clinical trials research? Are you an experienced
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supporting research activities, including contributing to background data analysis. You will have A Master/PhD in the Data Analytics, Computer Science, Finance, or a closely allied discipline. A strong
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organisations in a health and / or social care context. You will also have mixed-methods research expertise, with an emphasis on qualitative methods. With a PhD (or nearing completion of a PhD) in a health or
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MRC. The candidate will have a PhD and will have good experience in cell biology and tissue engineering. The candidate will also have experience of working both independently and as part of
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the atmosphere. You will have a PhD in a related discipline, with experience of using atmospheric models in tandem with empirical data relating to atmospheric species such as halocarbons. You will have a track
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implementing these using appropriate statistical software. You will have the opportunity to contribute to teaching and supervise MSc and/or PhD students. You will join a large, well-established group
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new code development would also be involved. Both options could also involve making comparisons with astronomical data. You will have a PhD in Mathematics, Astrophysics, or a closely allied discipline