82 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at Ulster University
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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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advanced AI/ML methods to neural and behavioural data to uncover the computational foundations of decision-making in humans and animals. Designing novel AI algorithms inspired by brain function, to improve
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Molecular dynamics simulations High-field NMR spectroscopy Ideal for students excited by computational biophysics and structural biology, with strong career prospects in academia, biotech, and AI-driven drug
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robust baseline for sports-related injuries will inform this change and help ensure that future injury data are accurate and useful for service planning. Findings from the project will be shared with
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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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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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through the vessels and how diseases like heart blockages or artery wall damage develop. However, most current computer models used to study blood flow treat arteries as if they are rigid and motionless
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technology, and mixed-methods research. This is an excellent opportunity to contribute to a project with clear, tangible relevance to regional health strategy and clinical practice. Important Information
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary The Northern Ireland (NI) Government has set the ambitious target to achieve net zero carbon emissions
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Pharmacist-Led Medicines Optimisation in Metabolic care: a Cross-System Implementation Science Study
Apply and key information This project is funded by: Department for the Economy (DfE) Summary This PhD programme will develop and evaluate AI-assisted, pharmacist-led clinical decision-support