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the cellular and molecular mechanisms driving tumour development. In this role, you will support a team of scientists using genetically engineered mouse models (GEMMs) and transplantable tumour models (e.g
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disorders, using these datasets to build models of neurodegenerative tauopathies, and building a framework for the development and implementation of machine learning models. The applicant will join a friendly
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(e.g., Reinforcement Learning, Agent Based Modelling) to join our team full-time as part of a large international collaboration of European researchers (incl. Tobias Dienlin, Veronica Kalmus, Adrian
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characterisation of extracellular vesicles (EVs) from a range of sources as well as high content microscopy and cardio-metabolic phenotyping in rodent models. Our main research interest is in understanding how
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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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, to contribute to cutting-edge research on the early detection and prevention of primary intestinal tumours using animal models of ageing. The project involves a range of advanced techniques, such as complex mouse
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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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prostate cancer risk across diverse ethnic groups. This work aims to support more equitable risk stratification in cancer screening programmes. Using simulations based on multistate modelling framework
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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