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to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across conventional boundaries and pursue hypothesis-led
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ability to contribute ideas for new research projects and research income generation. Previous research experience in one or more areas relevant to the research programme. For example: probabilistic machine
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. Importantly, this position offers a unique opportunity to develop an independent research program in a very novel area of biology, focusing on how the kinetochore and the cytoskeleton interact to influence
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) in machine learning or a closely related field you should possess sufficient specialist knowledge in the discipline to work within established research programmes and have an ability to manage own
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anxiety, to work within the established research programme. Substantial hands-on research and professional experience of working with individuals with mental health difficulties, including first-hand
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of Edinburgh and Glasgow, with expertise across computer science, wearable computing, AI and criminology. Our programme of research utilises both experimental and literature-based approaches to explore
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team working at the forefront of public service reform, in close collaboration with academic, government, and civil society partners. The successful candidate will contribute to a programme exploring how
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the performance of lithium ion technologies. To support the programme, the post holder will be required to carry out research on characterisation of battery degradation, with a particular focus on the application
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Metabolism (OCDEM) on studies related to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across
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the field Ability to independently plan and manage a research project Ability to effectively communicate and work within an inter-disciplinary team Benefits of working University employees enjoy 38 days’ paid