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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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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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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
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future plans fit with the advertised position), CV and the details of two referees as part of your online application. For those candidates about to finish their PhD degrees, a lower grade offer may be
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Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience. Essential criteria 1. PhD qualified in relevant