155 assistant-professor-computer-"https:" "https:" "https:" "https:" "EURAXESS" positions at Ulster University
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, computational fluid dynamics (CFD) models, are used to aid fire safety design, but they are often computationally intensive and time-consuming, hindering reliable fire safety assessments. Artificial intelligence
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as part of TRACE (Technological Revolution towards an Agri-food Circular Economy), a €5.89m cross-border project supported by the European Union’s PEACEPLUS Programme and managed by the Special EU
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Development of smart clothing for physiological monitoring of children with heart conditions at home
an increasing number of infants with complex conditions can now survive. They are however, a vulnerable group and there is an increasing need for robust home-monitoring to assist with early detection of changes
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the EEA, Switzerland, the UK or Gibraltar 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
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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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miRNAs that remain poorly investigated in relation to prostate cancer and which therefore offer exciting possibility for novel discoveries. Better understanding of their function will in turn help explore
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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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cardiologist, respectively from Musgrave Park hospital and the Southern Trust. These clinicians will advise on relevant injury scenarios and therefore assist with identifying designs adaptable to commercial US
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to better understand what motivates or hinders action and will identify potential strategies that could help more pharmacies become environmentally sustainable. This is an exciting opportunity for someone
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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