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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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an objective and consistent method of measurement. The implication of this is a mechanism through which customer and supplier can agree on model quality. Furthermore, the outcome will inform the development
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Interacting dark energy models in light of cosmological data School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof Carsten van de Bruck Application Deadline
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Modelling. You will work on applied and methodological research projects focussed on policies involving interventions affecting both health and work outcomes and the interactions between them. The research
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role in defining system requirements and developing a robust AI framework to model and anticipate opponent behaviours and beliefs, leveraging state-of-the-art methods in machine learning and
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of laboratory support equipment and flight instrument models for the EMS-LUPEX and MAGPIE ITMS instruments. These instruments are key contributions to the upcoming ESA/JAXA LUPEX and MAGPIE lunar mission
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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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-1 RA and GLP-1 RA+GIP analogues) may influence DPN risk. You will prepare descriptive analyses, fit multiple cox regression models with confounder adjustment, conduct stratified and subgroup analyses
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models of the additive manufacturing process. Surrogate models to accelerate virtual material testing and verification will be developed to allow the generation of property distributions from process
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challenge is to decipher the heterogeneity in how dynamic fluids influence cells. Such parameters have been difficult to study, but recent advances now allow us to do so. We will combine bioimaging, modelling