81 computer-security-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Ulster University
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Positioned within Ulster University’s School of Computing, this research theme advances cutting edge artificial intelligence and Internet of Things (IoT) solutions for healthcare and wellbeing
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for stress-testing. Training spans multi-agent reinforcement learning, evolutionary computation, adversarial machine learning, game-theoretic modeling, and financial crime compliance. You will design agent
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high accuracy with less data while ensuring that decisions remain transparent and open to human oversight, qualities that are vital in digital health and other safety-critical applications
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Summary Research Context Positioned within Ulster University’s School of Computing, this research theme focuses on the development of secure, transparent, and ethical artificial intelligence
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Technology is a recently launched research centre examining innovation at the intersection of law and technology. In its infancy it has already secured grants for cutting edge research on the role
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and legacy of conflict and securing equality for vulnerable and marginalised groups. Key themes in our work include peacebuilding, truth recovery, accountability, the role of international institutions
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directly with surgeons and engineers to translate research findings into practical solutions. This interdisciplinary work offers an opportunity to make a tangible impact on patient safety and surgical
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initiatives, they are shaping a more inclusive future for all. Ulster University students from our MSc in Applied Behaviour Analysis (ABA) program have been going to NECC for year-long placements since 2008
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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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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 doctoral degree on a