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to accelerate the growth of existing neoplastic lesions (Mason 2009). These complexities highlight the need for sophisticated interdisciplinary approaches. This research programme will integrate artificial
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contribute to the evidence base for public health policy, inform future treatment strategies, and support the wider Programme for Government aim of enabling people to live long, healthy, and active lives
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for innovation, productivity and internationally orientation in the NIE Programme for Government and are one of seven sector specific action plans (DfE 2024). Data on Creative Industries’ (CI) participation
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admission requirements may be offered admission on a self-funded basis. Applicants who already hold an MRes or a doctoral degree or who have been registered on a programme of research leading to the award
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on a programme of research leading to the award of an MRes or doctoral degree are NOT eligible to apply for funding. Applicants who hold or who are registered on a taught Master’s degree are eligible
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on a programme of research leading to the award of an MRes or doctoral degree are NOT eligible to apply for funding. Applicants who hold or who are registered on a taught Master’s degree are eligible
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to be used, fabrication methods, radiation modelling, and computational fluid dynamics. Bench scale reactors will be fabricated and tested in the lab for the removal of CECs in simulated wastewater
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Summary Positioned within Ulster University’s School of Computing, this research theme focuses on harnessing artificial intelligence and spectral technologies to strengthen food integrity and
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applicants from diverse academic and professional backgrounds, including (but not limited to): Film, Television, and Media Studies Artificial Intelligence and Computer Science Creative Arts and Practice-based
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waiting lists, support and optimise programme uptake and outcomes, using observational questionnaires and exit interviews. Methods An in-depth analysis of existing Pulmonary Rehabilitation programmes in