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Scheme – 28.6% Subsidised private healthcare provided by Aviva including a Digital GP Service. Employee Assistance Programme inclusive of counselling services, financial wellbeing support and bereavement
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Contributions Teachers’ Pension Scheme – 28.6% Subsidised private healthcare provided by Aviva including a Digital GP Service. Employee Assistance Programme inclusive of counselling services, financial wellbeing
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. Computer Science, Information Systems, AI, or Data Science), expertise in data infrastructure and methylation data. Evidence of independent problem-solving are essential. Also, exceptional communication, networking
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Summary This research theme investigates how artificial intelligence, multimodal sensing, and spatial computing can be harnessed to improve early detection and monitoring of neurological and mental
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engineering. The successful candidate will establish and lead a distinctive programme of world-leading research in Advanced Manufacturing, contributing particularly to the School of Engineering’s research
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Pharmacy (MPharm) Undergraduate programme and our new MSc Pharmaceutical Sciences and to successfully advance pharmaceutical sciences through interdisciplinary and innovative research. You will join the
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Part-time: 28 hours per week Fixed-term: Maternity Cover for 14 months From local roots to global impact. Be part of something bigger. Join the University of Edinburgh and you’ll be making a difference to everything around you. Be part of something bigger — where you’ll do meaningful work, grow...
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Application deadline: 31/05/2026 Research theme: Catalysis, Synthesis, Chemistry How to apply:uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded and home students are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805...
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instruments, large-scale datasets, and an international research community. Training on neutron scattering techniques will be provided. The project is ideal for students who are interested in computational
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and testing a prototype tool with young people, practitioners and computer scientists to support improved identification, understanding and support for self-harm in young people. You will support the