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to complete a PhD on the multiple and contested practices, norms, and understandings of GenAI among academic users in their research and publishing activities. The scholarship is part of the Generative AI and
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-hazard resilient sustainable modular structures. New modular connections will be developed and structural response of hybrid modular structure to multiple hazards including impact, blast, wind and
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), singular optics, using electrons, atoms and light and the exploration of complex systems using statistical field theory. "Catastrophes on order-parameter manifolds" (with Dr Alexis Bishop and Dr Timothy
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Full-time onshore enrolment Strong background in fluid-structure interaction or in systems and control Solid background in mathematics (theories in both ordinary and partial differential equations
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skilled human operators must acquire and integrate information from multiple distributed sources (e.g., physical and informational environments) to coordinate cognitively (e.g., decision-making) and
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studies. Proven experience preparing ethics applications and writing research reports Strong time management and organisational skills, with attention to detail, ability to manage multiple complex tasks
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collaborations with local and international research groups such as the European X-Ray Free-Electron Laser Facility in Germany. Student projects may focus on physics theory, algorithm development, experimental
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of research include integrating AI-enhanced weather forecasts with crop models, exploring tools to guide land allocation and nitrogen management, or developing dashboards that fuse multiple data streams
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on clinical trials Well-developed planning and organisational skills, with the ability to prioritise multiple tasks and set and meet deadlines Capacity to work in a collegiate manner in a team environment and
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statistical analysis and/or coding (e.g., R, Python, C++) Exposure to neurophysiological measurement methods (e.g., eye-tracking, pupillometry) Interest or training in technology law, digital regulation, or AI