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was established. This is a £55M programme funded by Department of Economy NI and Industry partners, managed by the UKRI Strength in Places programme. This programme is a collaboration between regional Life and
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary Many modern technologies — from medical brain-computer interfaces (BCIs) to automated factories — use
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). Interest in interdisciplinary research combining technical methods with real-world economic questions. Essential: Strong quantitative background (computer science, data science, statistics, economics
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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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vision systems addressing an urgent industrial challenge with immediate, large-scale impact. The project will take existing knowledge in computer vision and deep learning and apply it directly to a
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testing of GTN-loaded elastic liposomes carrying ascrobyl fatty acid esters and a co-antioxidant Methods to be used: Synthesis of ascorbyl fatty acid esters and phenylboronic acid spin traps Formulation
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initiatives, they are shaping a more inclusive future for all. Ulster University students from our MSc in Applied Behaviour Analysis (ABA) program have been going to NECC for year-long placements since 2008
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minimal NMR data to rapidly predict 3D G-quadruplex DNA/RNA structures – a major leap beyond traditional, time-consuming methods. Work at the intersection of generative AI, molecular dynamics simulations
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unnecessary nocebo effects. Methods to be used: The first phase involves a systematic review of the literature to identify the diversity of language currently used in PIS for paediatric pain research [objective
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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