278 engineering-"https:" "https:" "https:" "https:" "Data driven Materials Modeling" scholarships in United Kingdom
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Award summary 100% home fees covered, and a minimum tax-free annual living allowance of £21,805 (2026-27 UKRI rates). Overview Artificial Intelligence (AI)-driven decision engines are increasingly
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for the creation of cellular machines. These synthetic designer de novo chromosomes allow us to address fundamental biological questions, systematically re-engineer genetic components, incorporate large-scale
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Department: Chemical Engineering Title: The mitochondrion as an engineering target for mammalian cell factories Application deadline: 24/07/2026 Research theme: Biotechnology How to apply: https
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Primary supervisor - Dr David Lea-Smith Engineering biology has enormous potential to address global environmental challenges like bioremediation, biosequestration, pollutant monitoring, and
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within its host, and the molecular and physiological interactions that underpin this unique symbiosis. By combining experimental approaches across engineering biology, the project will provide new insights
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& Communication Engineering programmes, which include a four-year undergraduate degree and a two-year Master’s programme for Chinese students. The programme leads to a dual award from both Lancaster University and
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which will bring the annual income to a minimum of £28,405.40 per annum. We expect the stipend to increase each year. Tuition fee costs will be covered by School of Engineering. We seek to appoint one
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Applications are sought for a fully funded PhD 3-year studentship position in the School of Chemistry at the University of Birmingham (UoB) in collaboration with the Defence Science and Technology
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of engineering design and CAD and the enthusiasm to develop new teaching approaches in one of the leading UK Schools of Mechanical Engineering? As a member of the School you will contribute to the delivery
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This project addresses a fundamental question in digital twin development for fusion energy systems: the relative roles and limitations of physics-based models, experimental data, and AI-driven approaches. The research will focus on fundamental thermomechanical and thermofluid phenomena relevant...