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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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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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). 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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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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efficiency of low-cost adsorbents for the removal of cyanotoxins and taste and odour compounds from water. This will involve setting up methods for the analysis of selected toxins and taste and odour compounds