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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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learning models. A commitment to innovation, scholarship, and civic impact. At UCB, we are proud of our strong links to industry, our focus on applied learning, and our community-driven ethos. We are based
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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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to chemo/radio-therapy and therapeutic/preclinical DDR inhibitors within a cohort of matched GSC heterogeneity models within the Sheffield Living Biobank of patient-derived primary glioma stem cell-like (GSC
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used to measure motion and deformation. It provides comprehensive full-field deformation data, essential for analysing complex materials, structures and model validation. The DIC community has developed
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(LiB’s). You will be responsible for: • Developing models and simulations of the electrode fabrication process, sensors, and actuators. • Developing a demonstrator of a soft sensing system that
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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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models of prototypes. Fabricate these prototypes and help characterising them acoustically. Contribute to potential IP generation. Contribute to commercialisation and impact activities. Ensure consistency
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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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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly