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light-responsive hydrogels for controlled drug release Integrate sensing, delivery, and wireless control into a closed-loop system Perform in vitro and ex vivo experimental validation Analyze data and
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of the application for admission shows a strong link to Engineering Science. A statement describing the link to Engineering Science will be required for such candidates. On an A – E grading scale, a grade average of
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, observation, focus groups), and digital humanities tools to link data politics (institutions, categories, controversies) with data practices (how data is produced, negotiated, and made actionable). An exchange
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linking terrestrial and aquatic communities remain poorly understood. This doctoral position is part of the TRACE – Trait Responses Across Connected Ecosystems project (2025–2028), funded by the Research
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programme. Nationality restrictions Other eligibility criteria The proposed research project must be within the remit of EPSRC's research themes. Please see EPSRC website for information. Application
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develop cancer biomarkers through statistical models, including AI driven strategies, to predict highly aggressive tissue molecular signatures for mapping future GBM relapse, linking imaging features
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using signal changes to learn about the weather and take appropriate action. By combining AI with physics and real-time data, the project improves weather forecasts and makes communication systems more
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system will manage and adjust the way information is used in real time. Cranfield University is a globally recognised postgraduate institution focused on applied research and strong links with industry
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development and application of advanced experimental methods to link surface structure, gas-phase reactions, and catalytic activity under realistic reaction conditions. Research is carried out in close
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of system and data confidentiality and complete any other requirements. Desirable skills: Experience in programming (C, python, or similar). Knowledge in machine learning or distributed systems. How to apply