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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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Our lab (https://www.cruk.cam.ac.uk/research-groups/biffi-group ) combines ex vivo human and murine pancreatic tumour organoid/fibroblast co-cultures with murine in vivo models and patient-derived
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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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, 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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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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data models for electronic health records of people with mental disorders, under the guidance of Dr Osimo and Prof Murray at Cambridge, and a line manager to be selected at Akrivia Health. The aim
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and maintain laboratory neurodevelopmental models from stem cell lines. The aim of the research is to understand developmental sex differences of the brain, specifically towards revealing
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would be advantageous. Experience focused on novel semiconductor devices or training ML models is not particularly relevant for this role. It should be possible to take someone with extensive experience
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across ELFT and identify key stakeholders working in maternal child health, ii) contribute to evidence synthesis on models of care for maternal and child health in low resource settings locally and
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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