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Field
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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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who has been working in an academic or commercial research laboratory/company related to the differentiation of human iPSC into different cell lineages, and the assembly of complex tissue culture models
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to develop a program of work investigating how brains use internal models of task and world structure to enable flexible goal-directed behaviour. The experiments will involve recording and/or manipulating
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modelling and analysis. Proven ability to work independently, think creatively, and solve complex experimental problems. Strong troubleshooting skills with the ability to identify and resolve challenging
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resilience. This task will involve integrating demographic models (e.g., structured population like matrix population models and/or integral projection models) with community stability analyses using, among
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transmitter and receiver systems, and robust communication links suitable for operation in complex biological environments. The research will involve advanced electromagnetic modelling, system-level simulation
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comfort and would be interested in a fixed term role to support a large project looking at developing outdoor thermal comfort models for children? If so, we would welcome your application to this full-time
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for a period of 3 years. The successful applicant will use rodent models to investigate cerebellar related neural circuits that underlie emotional regulation in chronic pain. Experience in techniques
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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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combines simple, predictive mathematical and biophysical modelling with long-lasting experimental collaborations to dissect biological mechanisms too complex to unravel by experiments alone. In many cases we