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contribute to ongoing cancer risk modelling projects within the Centre for Cancer Genetic Epidemiology (CCGE), based in the Department of Public Health and Primary Care. They should have a strong understanding
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freshwater fishes, structured around the following objectives: Use the LOC to map the freshwater fish distributions in Madagascar, including threatened, invasive and human food species Create predictive models
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. These systems will serve as model platforms for studying high-entropy crystallisation, offering microscopic insight into how molecular-scale parameters control emergent order. Robotic deposition and high
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facilities, including advanced microscopy, controlled environment growth rooms, genomics, proteomics, and metabolomics platforms. • Opportunities to work across model and crop species, including Arabidopsis
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). Access to cutting-edge facilities, including advanced microscopy, controlled environment growth rooms, genomics, proteomics, and metabolomics platforms. Opportunities to work across model and crop species
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. Candidate profile: Applicants should hold or expect to receive an upper 2.1 or 1.1 degree in a relevant discipline. A cell biology/molecular biology/genomics background is essential. Training will be provided
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electron microscopy image simulations Development of a machine learning model capable of inferring 3D atomic structure from two-dimensional TEM projection images Application of the new approach