145 computer-science-intern "https:" "https:" "https:" "https:" "U.S" uni jobs at Ulster University
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admission requirements may be offered admission on a self-funded basis. Applicants who already hold an MRes or a doctoral degree or who have been registered on a programme of research leading to the award
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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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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