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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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iteratively refine digital models of prototypes. Fabricate these prototypes and help characterising them acoustically. Contribute to potential IP generation. Contribute to commercialisation and impact
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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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properties. Perform characterization using SEM, confocal microscopy, and thermal imaging tools. Use computational modeling to guide surface design and analyze thermal behaviour. Conduct vacuum testing
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to the advancement of AI applications in biological sciences. This role presents a unique opportunity to work with pangenomic datasets while exploring the application of Large Language Models (LLMs) and machine
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, including meta-analysis using PLINK 1.9 (fixed-effects inverse-variance model), conditional analysis using REGENIE, and fine-mapping of HLA–protein associations. You must hold a first degree in Genomic
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“Good Clinical Practice”). Contribute to the preparation of recruitment materials (information leaflets and consent forms), interview topic guides and the study protocol. Conduct telephone “check-in
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remotely. Skilled in descriptive analysis, data modelling and graphic interfaces. Demonstrated expertise in analytical and statistical tools. We support flexible and family-friendly working and are open to
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Economist to join the Macroeconomics team, working with our world renowned NiGEM model. The purpose of the role is to maintain the historical data for NiGEM database and support the macro-modelling team’s
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://www.richardslab.org/ In your application please include a cover letter stating how you match the person specification. Role Summary Work within specified industry grant Recruit families to the study Contribute to data