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-ome data at bulk and single cell resolution. You will hold a PhD in Mathematics, Systems Biology or a related subject. Experience with mathematical modelling of dynamical systems using linear and non
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models. These models will leverage both imaging data and corresponding radiology reports during training to build comprehensive representations that capture the rich, complementary information contained in
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funded by UKRI and is fixed-term to 31 December 2026. This is an on-site position only. The project aims to develop a computational model for biodegradable polymers degrading in water under mechanical
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to the 30th September 2026. We are looking for outstanding machine learning researcher to join the Torr Vision Group and work on AI Scientists: systems that use foundation models, AI agents, and robotics
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. Essential Criteria PhD qualified in relevant subject area (or pending results/near completion) Experience applying multi-modal models specifically in medical or clinical domains. Strong knowledge of MRI data
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further information about our Department, please visit our website . About the role The postdoctoral position will be an integrative part of an exciting ERC project dedicated to biosynthesize and
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others, pseudospectra theory, and empirical data from DRAGNet and global demographic databases (COMPADRE, COMADRE, PADRINO). The project combines mathematical modelling, simulation, and empirical synthesis
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typically apply these models to understanding brain development and diversity. So an interest in, or experience with, studying development would be highly beneficial. You should hold a PhD in a relevant field
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information on the project. To apply for this position, you must have a strong computer science background with a focus on computer security and (model-based) systems engineering, have excellent software
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or renewable-energy systems, thermal energy storage, or bioenergy technologies. Experience in experimental design, laboratory setup, data acquisition, and modelling of heat-transfer or energy-conversion systems