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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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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
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criteria which requires that they have lived in the EEA, Switzerland, the UK or Gibraltar for at least the three years preceding the start date of the research degree programme. Applicants who already hold a