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approaches often provide only limited insight into these effects. This project will use advanced computer simulation, informed by post-operative scans and patient movement data, to understand how variations in
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and machine learning techniques for the design of superconducting qubits, one of the leading qubit modalities used in today’s quantum computers. The optimal design of superconducting qubits is a highly
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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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computational design, Industry 4.0 integration, digital twins, and data-driven optimization to enhance manufacturing efficiency. Working closely with the NWCAM2 companies, this project aims to reduce waste, embed
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H, Asiabanpour B (2024) (A circular economy integration approach into vertical farming with computer-based simulation model for resource optimization and waste reduction, Journal of Cleaner Production
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an optimized solution with renewable energy (RE) implementation for power generation to replace fossil fuels. The effects of reducing greenhouse gases through the implementation of renewable energy sources
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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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monitoring system will support control of welding parameters and help optimize robot tool paths. The aim is to achieve a right-first-time approach, with additional benefits of reducing energy and material
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary There is both growing anxiety and optimism around the use of Artificial Intelligence (AI) in
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computational fluid dynamics (CFD) and computer-aided design (CAD) software. They should also be prepared to engage in both computational analysis and experimental testing as required. Essential criteria