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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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This PhD project will develop mathematical models to investigate population dynamics in biological systems. Combining dynamical systems theory, mathematical modelling, and data-driven approaches, the research will explore how populations change over time in response to ecological interactions,...
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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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Modern autonomous ground vehicles (AGVs/UGVs) in defence operations require sophisticated AI/ML-based control systems for perception, decision-making, and adaptive responses in complex, unstructured environments where terrain can change abruptly. However, formally certifying these opaque...
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) are widely used in industries such as automotive and electrical engineering. During service, these materials are frequently exposed to harsh environments involving elevated temperatures, oxygen, and moisture
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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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: The studentship covers bench fees, stipend, and tuition fees Interviews: Interviews are expected to take place online in November 2026 Start date: 18 January 2027 Project Title:From nutrition science education to
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only of storing information, but also of manipulating, organising, and retrieving it through molecular data structures analogous to those used in computer science. Building on our pioneering experimental
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relevant subject, such as health sciences, biomedical engineering, or related discipline. A strong interest in implementation science, innovation adoption, or health systems research is essential, alongside
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The continuous release of Earth Observation (satellite) data and the emergence of Machine Learning methods open up new possibilities for understanding forests. These large datasets provide complementary information on 3D structure (GEDI lidar, BIOMASS P-band radar, NISAR L-band radar) and high...