92 engineering-computation-"https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at Ulster University
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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
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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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. The project will examine how heat demand mapping, technology and cost assessments, and zoning mechanisms can be used to identify areas where heat networks are the most cost-effective solution. It will also
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, financial technology, policy analysis, or academia. Ideal candidate: Background in computer science, data science, finance, economics, or related quantitative fields. Strong programming skills (Python/R
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in this programme will generate evidence-based outcomes for technology adoption, collaborative frameworks between industry and academia, and practical roadmaps for transitioning towards sustainable and
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Satellite and earth observation together with RE technology implementation and advanced artificial intelligence to quantify the effect of REs in the terrestrial carbon cycle. Essential criteria Applicants
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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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networks, enabling stress-testing of compliance systems against threats that do not yet exist in operational data. Working with Pytilia, a RegTech compliance technology provider, you will complete three
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. These benchmarks will help build confidence in the technology and support its adoption. The research will focus on: Pre-treatment and characterisation of the electrolysis process from FVW Modelling the entire green
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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