134 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs 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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clinical decision-making, program evaluation, and information-sharing with team members. This current PhD proposal is an example of implementation science because it aims to build upon an almost 20-year
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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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applicants from diverse academic and professional backgrounds, including (but not limited to): Film, Television, and Media Studies Artificial Intelligence and Computer Science Creative Arts and Practice-based
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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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as part of TRACE (Technological Revolution towards an Agri-food Circular Economy), a €5.89m cross-border project supported by the European Union’s PEACEPLUS Programme and managed by the Special EU
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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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wide range of disciplines including engineering, chemistry, mathematics, and computer engineering. The diversity of this research theme means that the student will potentially cross these disciplines
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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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clinical translation of this technology and (3) expedite commercial exploitation of this technology. Specific objectives: To generate a range of tumour tissue samples from in vivo models treated with SGEN-33