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at the University of Liverpool. You will be part of an exciting Liverpool-based UKRI-funded programme of research called ¿SCHOUSE: Supporting Communities in social Housing and Optimising Urban food System
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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 science
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analyses. Skills Demonstrable ability to plan and manage independent research. Contact Information Department contact for academic-related enquiries Dr Jungnam Cho, Associate Professor When appointing
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(assessed at: application/interview) Ability to work under own initiative to agreed protocols and deadlines, and to plan and progress work activities (assessed at: application/interview) Ability to develop
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already during the application period. After a preliminary interview, you may be asked to submit a 2-page research plan detailing the specific research questions you aim to address. Although this happens
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. The candidate should have excellent grades from the bachelor and master level courses in mathematics and mechanics as well as appropriate skills in programming and finite element analysis . Proficiency in
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As part of the Oxford Martin School Digital Pandemic Preparedness Programme and the Leverhulme Centre for Demographic Science (LCDS), Nuffield Department of Population Health (NDPH) are recruiting a
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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can be engineered to improve Rubisco's catalytic activity. The research programme will provide insight into direct molecular responses to carbon dioxide in prokaryotic and eukaryotic photosynthetic
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal