61 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"P" positions at Ulster University
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Development of smart clothing for physiological monitoring of children with heart conditions at home
technology into smart textiles, with design suitable for wear by small infants. Monitoring will track breathing, heart rate, arrythmias and oxygen levels to provide clinical feedback and parental reassurance
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Ireland Executive’s Programme for Government and its long-term mission on People, which prioritises fairer and more inclusive communities where no one is left behind. The project will contribute
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Positioned within Ulster University’s School of Computing, this research theme advances cutting edge artificial intelligence and Internet of Things (IoT) solutions for healthcare and wellbeing
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, national and international audiences in literature, Women’s Studies, and Conflict Resolution. Research project This project will offer access to one of the most under-researched literary archives
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Summary Applicants are invited to undertake a 3 year PhD program in partnership with a global leader in blood- and cell-based therapies (Terumo Blood and Cell Technologies Ltd). This opportunity
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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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manufacturing engineering and biosensing enabling the fabrication of highly sensitive, room-temperature quantum sensors using scalable, low-energy processes. Essential criteria Applicants should hold, or expect
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Molecular dynamics simulations High-field NMR spectroscopy Ideal for students excited by computational biophysics and structural biology, with strong career prospects in academia, biotech, and AI-driven drug
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Summary Positioned within Ulster University’s School of Computing, this research theme focuses on harnessing artificial intelligence and spectral technologies to strengthen food integrity and
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to accelerate the growth of existing neoplastic lesions (Mason 2009). These complexities highlight the need for sophisticated interdisciplinary approaches. This research programme will integrate artificial