35 structural-engineering-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL"-"UCL" positions at Ulster University
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary Transform how we determine biomolecular structures. This PhD develops generative AI tools that use
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Summary The Law research unit at Ulster University invites PhD proposals from applicants in our emerging research specialisms of legal technology, ethics and medical law. Ulster’s Centre for Legal
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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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. (2019), "A detailed investigation on thermal behaviour of slim floor beams with web openings at elevated temperatures", Journal of Structural Fire Engineering, Vol. 10 No. 4, pp. 446-467. https://doi.org
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Development of smart clothing for physiological monitoring of children with heart conditions at home
technology into smart textiles, with design suitable for wear by small infants. Monitoring will track breathing, heart rate, arrythmias and oxygen levels to provide clinical feedback and parental reassurance
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, financial technology, policy analysis, or academia. Ideal candidate: Background in computer science, data science, finance, economics, or related quantitative fields. Strong programming skills (Python/R
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construction technologies. Large full-scale compartment fire tests, while providing the best insight into fire development, are extremely expensive and often take months if not years to conduct. Instead
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of current robotic systems, a critical gap prevents alignment with human operator expectations. Key challenges include: Communication Barriers: Current robots require a direct structured command syntax, which
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. The project will examine how heat demand mapping, technology and cost assessments, and zoning mechanisms can be used to identify areas where heat networks are the most cost-effective solution. It will also
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privacy-preserving techniques (differential privacy, k-anonymity) to generate diverse scenarios spanning money laundering typologies such as smurfing, trade-based laundering, and shell company structures