137 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at Ulster University
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, design, and problems, Heliyon, 2023. Zhao et al. Patient-specific computational simulation of coronary artery bifurcation stenting, Scientific Reports, 2021. Khan et al. 3D printing technology and its
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date of the research degree programme. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis
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foundations (e.g. concrete piles). These dual purpose ‘energy piles’ offer a sustainable and scalable solution for harnessing geothermal energy from underground soils and rocks, whilst serving as structural
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for at least the three years preceding the start date of the research degree programme. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading
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three years preceding the start date of the research degree programme. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a
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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
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science to create evidence-based pathways toward sustainable warmth and health equity. Essential criteria Applicants should hold, or expect to obtain, a First or Upper Second Class Honours Degree in a
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Sciences, your first application on the system will be deemed your first-choice preference and further applications will be ordered based on the sequential time of submission. If you are successfully
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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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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