32 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"FEUP" positions at Ulster University
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary Serious musculoskeletal (MSK) injuries sustained during sport—such as fractures, dislocations, and
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary Hip replacement is one of the most successful surgical procedures, with over 100,000 operations carried
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machine learning with spectral data to enable rapid, non-destructive detection of food adulteration and fraud. Machine learning combined with spectral data can play a vital role in combating food fraud by
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difficult to interpret and require vast amounts of data to perform well. This PhD will investigate how AI can become more adaptable, efficient, and understandable by integrating people directly into the
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detection and trigger adaptive interventions. The methodology may involve interactive tasks simulating cognitively demanding contexts and collecting sensor data (Heart Rate Variability, touchscreen
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary Financial crime detection systems struggle against adaptive criminals who evolve evasion tactics
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary This theme explores how trustworthy, interpretable AI systems can support data-driven decision-making
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary Background In the UK and Ireland, an aging population are increasingly living with multiple long-term
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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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reinforcement in both the site of the insertion of the tufting yarn and between the tufts, whereas z-pinning does this at the site of insertion. 3D wovens involve layering and interweaving fibres in a computer