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to tissue perturbations such as injury, ageing and the acquisition of cancer-related mutations. We make use of an interdisciplinary approach combining human tissue, mouse transgenic models, lineage tracing
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research group. The successful candidate will benefit from building upon novel datasets, exciting preliminary findings, and using unique experimental model systems. Techniques will include multiple imaging
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) The successful candidate will contribute to cutting-edge research on the early detection and prevention of primary liver cancer using mouse models and human tissues. Experience in immune phenotyping, flow
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and respect) and be responsible for the care and welfare of small rodent cancer models housed within the facility and help with maintaining a good standard of hygiene. Further details and weightings can
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Environment Research Council (NERC) and the Advanced Research + Innovation Agency (subject to contract negotiations), in the atmospheric chemistry-climate modelling research groups of Prof Alex Archibald, Prof
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negative mammogram. This role provides scope not only to support these evaluations but also to develop and test your own models. As part of the role, you will help expand CC-MEDIA by collecting and curating
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modelling and cleansing plans, ensuring alignment of people, processes, and systems. Manage data from start to finish, including planning, execution, and validation. Stakeholder Collaboration: Collaborate
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will be addressed using a series of behavioural and electro-physiological experiments with Cochlear Implant users, as well as comparing the outcomes with predictions from existing computational models
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computational scientists to develop advanced algorithms and models. Research and validate potential biomarkers associated with breast cancer progression, treatment response, or patient outcomes, using
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randomised controlled trial of a group model building intervention to address inequalities in diet. Knowledge of systems thinking is essential; experience of group model building is highly desirable. Based in