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learning/AI, geoarchaeology, environmental science, or computer science would be beneficial, but is not required, depending on equivalent experience. Funding notes: This project is funded by the European
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at the University of Edinburgh. Candidates currently studying outside of China are eligible to apply, but not those who have already commenced a PhD programme of study prior to the 2025-2026 academic year. The
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Skills: Research-driven and self-motivated, with a strong passion for energy system related studies. Proficiency in English with strong communication and scientific writing skills. Competency in computer
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research and strong written and oral communication skills, as we can complete existing strengths with targeted training. Funding This fully funded Connected Waters Leverhulme Doctoral programme studentship
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, there will be a programme of support and mentoring available to you. Successful applicants will be offered a place on our RISE Research Leadership Academy , which is designed to develop candidates' leadership
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We invite applications for an exciting, fully funded PhD studentship at the interface of textile engineering, electronics, and wearable health technologies. This collaborative project between Heriot-Watt University and the University of Edinburgh aims to develop a new generation of biosensing...
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– the Doctoral Landscape Award (DLA) and the Doctoral Focal Award (DFA) – as part of its Future Doctoral Programme. The new awards aim to provide more flexible, inclusive, and strategically aligned funding across
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programmes on 13 January 2026 12:00-13:30 (GMT). Prospective students will obtain information about our PhD programme and the application process, funding, our world-leading research, living in Lancaster, and
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for Antimicrobial Resistance. Further details about the CDT and programme can be found at AMR CDT webiste Applications should be submitted by 12th January 2026.
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Computer Science, Electrical Engineering, Cybersecurity, or a related discipline. Strong programming skills (Python or similar). Knowledge of AI/ML concepts and techniques. Understanding of cybersecurity