79 web-programmer-developer-"https:"-"UCL"-"https:"-"University-of-Cambridge" positions at Ulster University in United Kingdom
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collaboration with local councils, language bodies, and creative industry partners to develop tools and media that make cultural data engaging and accessible. This project is ideally suited to a candidate with
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already developed bio-inspired methods for distributed repair, fault-tolerant interconnects, and secure hardware. These approaches allow electronic systems to adapt to failures, handle security breaches and
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treatment of this disease (Ref 1). However, there remains a significant gap in our knowledge about the role of miRNAs in prostate cancer development. The functionality of many of these miRNAs remains unknown
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learning process. The research will develop a Human-in-the-Loop Adaptive Learning (HILL) framework that combines active learning, reinforcement learning with human feedback, and explainable AI techniques
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future personalized therapies and drug development. The studentship aims to investigate: The therapeutic effects of naturally occurring omega-3 polyunsaturated fatty acids (PUFAs) that selectively target G
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or agents to enhance oxygen diffusion have met with limited success [1]. StimOxyGen Ltd, a spinout from Ulster University has developed a nanoparticle formulation (SGEN-33) that can generate oxygen in solid
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prevent failures. This project proposes developing a novel vision-guided robotic machining platform capable of adaptive manufacturing by integrating advanced sensors and AI. The work will involve
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary This novel project aims to investigate the benefits of a newly developed PUFA Omega-3 fish oil
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applications, translating astrocytic principles into bio-inspired AI architectures. The candidate will have the opportunity to: Train in cutting-edge computational neuroscience and NeuroAI. Collaborate with
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major innovation hubs? This question has direct policy relevance for regional innovation support programmes. What you'll do: Fine-tune PatentBERT on European patent data; extract interpretable linguistic