638 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" scholarships in United Kingdom
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(Edge AI) enables deploying AI algorithms and models directly on edge devices. However, AI workloads demand high performance processing, large scale data handling, and specialized hardware accelerators
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University Belfast, University of Manchester, University of Edinburgh and University of Bristol. BioAID will train the next generation of scientists in Artificial Intelligence and data-driven approaches
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completed application should be emailed to the Doctoral College Admissions team by 6th April 2026 at 9am. Funding information Full tuition fee waiver for three years and a stipend each year at UK Research
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operational constraints of complex HVDC infrastructure, drawing on real-world insights into converter stations, auxiliary systems, and system availability factors. The role will involve developing data-informed
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, radiologists interpret scans such as CT, MRI, and X-ray together with textual information, including patient history, laboratory findings, and prior reports. Although recent Vision–Language Models (VLMs) can
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of adolescent mental health, social inequalities, epidemiology, and data science. The student will be embedded within a vibrant interdisciplinary research environment at the University of Bradford, working
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, computational modelling, or data science. The studentship provides full PhD funding, including tuition fees and a tax-free stipend for the duration of the programme. Please apply via the ‘Apply’ button above.
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, finance, and healthcare, where data integrity and system reliability are non-negotiable. This PhD project addresses the integration of robust security measures within AI-enabled electronic systems
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This PhD project aims to transform paediatric healthcare by addressing critical data and research gaps through advanced artificial intelligence (AI). Despite its importance, paediatric healthcare
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of macrosopic quantum coherence in levitated solidstate platforms. Our Team is part of the Quantum Optics, Quantum Nanophysics and Quantum Information group of the Faculty of Physics. We are member of the Vienna