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industry and clinical collaborators. Applicants must have at least a 2.1 undergraduate degree in bioinformatic, computer science, biomedical sciences, biochemistry, or a related discipline, along with some
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., ... & McDonough, S. (2024). Post-rehabilitation programme to support upper limb recovery in community-dwelling stroke survivors: a mixed methods cluster-feasibility controlled trial. BMJ open, 14(10), e088301.
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in this programme will generate evidence-based outcomes for technology adoption, collaborative frameworks between industry and academia, and practical roadmaps for transitioning towards sustainable and
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state; drug control and questions of social justice). Projects may involve other disciplines, including but not limited to computing, medicine, life and health sciences, philosophy, public administration
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. This project is available in the Computer Science Research Institute and is tenable in the Faculty of Computing, Engineering and the Built Environment, at the Magee campus. The PhD researcher will be based
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record in astrocyte-neuron interaction modelling, published in Frontiers in Computational Neuroscience, PLoS Computational Biology, Neurocomputing, and IEEE Transactions on Neural Systems and
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leading international collaborators. The student will gain valuable knowledge and training in mathematics, machine learning, high-performance computing, and brain sciences. Essential criteria Applicants
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generator (Python toolkit), evaluation metrics suite, and academic papers in top finance and information systems venues. We welcome applicants with backgrounds in computer science, data science, or
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natural fibres and bio-resins, combining renewable materials with advanced processing and computer-aided design/simulation. The research aims to create high-performance, sustainable composites with tailored
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(SMEs) in the health and life sciences (H&LS) sector to embed and accelerate sustainable manufacturing in their businesses. Integrated research in this programme will generate evidence-based guidance