136 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Ulster University in United Kingdom
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary Sustainable development, emerging artificial intelligence systems and the need for different skills
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and caregivers; developing a theoretical framework and logic model; creating and refining a prototype tool; and evaluating the intervention through an RCT. AccessNI clearance required Please note, the
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response to difficult histories and realities across the Island. As part of the North South research partnership with NCAD, Ulster University will support this researcher in the development of a practice
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-throughput (HTP) screening remains challenging, with tumours needing to be expanded in culture or patient-derived xenografts, this is time-consuming and often unsuccessful. This project will develop
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on the island of Ireland. It will enable innovative approaches to the material to be developed which will provide the researcher with valuable skills in digital and archival technologies. It will explore how AR
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privacy regulations and rare-event scarcity. Traditional case-based training relies on limited historical examples, leaving investigators poorly prepared for emerging threats. This PhD will develop and
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. 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 for more than one year (or part-time
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quarter of families reported borrowing money to meet these costs, rising to 50% among unemployed parents/guardians. This PhD provides an opportunity to address these pressing challenges through a programme
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recommendation for people with respiratory conditions. This is mostly achieved through pulmonary rehabilitation programmes, including exercise, education and self-management components. Aim To evaluate current
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. Current compliance systems are reactive, detecting known patterns but remaining vulnerable to novel schemes. This PhD develops autonomous AI agents that model the strategic co-evolution of financial crime