80 engineering-computation-"https:"-"https:"-"https:"-"https:" positions at Ulster University
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welcome applicants from diverse academic and professional backgrounds, including (but not limited to): * Film, Television, and Media Studies * Artificial Intelligence and Computer Science * Creative Arts
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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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, D.R. and Methuku, V., 2025, June. Human-in-the-Loop Data Engineering for Federated AI: Enabling Trust in model Pipelines. In 2025 International Conference on Computing Technologies (ICOCT) (pp. 1-7
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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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for at least the three years preceding the start date of the research degree programme. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading
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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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generator (Python toolkit), evaluation metrics suite, and academic papers in top finance and information systems venues. We welcome applicants with backgrounds in computer science, data science, or
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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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criteria which requires that they have lived in the EEA, Switzerland, the UK or Gibraltar for at least the three years preceding the start date of the research degree programme. Applicants who already hold a
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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