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clinical applications. This PhD studentship will develop next-generation polymer drug delivery implants designed to form in situ and enable tuneable release pathways. By controlling polymer architecture
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on the development and evaluation of interventions to improve substance use and infectious disease outcomes. Work in the lab also incorporates implementation science approaches to improve substance use and infectious
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power electronics to enhance the reuse and recycling of components, enabling a more circular life cycle. The work will contribute to a new paradigm in the development of power electronics that incorporate
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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and
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carried out under the UK Hypersonics Doctoral Network. This network is supported by the Ministry of Defence and EPSRC for building the necessary expertise to develop next-generation hypersonic vehicles
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. The anodic oxygen evolution reaction (OER) remains an outstanding barrier to efficient H2 production, and even with the best electrocatalysts still needs significant energy input to overcome its intrinsically
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Application deadline: 11 February 2026 Apply now Are you interested developing the latest biofabrication technologies and control cellular behaviour directly within living systems and organisms? Join our team
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colleagues within the Division and throughout the University as appropriate to develop mutual research and training interests. This position will work on developing innovative therapies and rehabilitation
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, providing a strong interdisciplinary environment for doctoral research. Vision This project aims to transform the UK school estate by developing evidence-based, climate-resilient retrofit strategies
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motivated and enthusiastic and keen to push the boundaries of what is currently possible when imaging with an optical microscope. Combing the latest in optical developments with the recent surge in AI