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out metabolite profiling to gain physiological insight into how food plants respond to PFAS exposure. The successful candidate is expected to enter a plan for the progress of the work towards a PhD
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and other green systems through field studies and environmental monitoring; Developing data-informed approaches to measure and explain ecological change; Assessing how design, maintenance, and local
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. Strategy, International Business and Entrepreneurship (SIBE) Sustainable strategy and its governance International business and management of people, knowledge and technology across borders Innovation
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applications (e.g. for cooling and industrial processes) and assess emerging governance opportunities and hurdles. The successful candidate will have flexibility in designing research approach and drawing on a
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for all. This PhD project aims to develop, physics-informed surrogate models to support the design and optimisation of deep geothermal energy systems under subsurface uncertainty. Focusing initially
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, reaction rules, and help establish more sophisticated rational design protocols. Ultimately, the BONDS project has the potential to allow for furthering our current understanding of fundamental processes
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external control. Autonomous agents that can perceive, reason, plan, act, and learn, together with self-configuring, self-healing, and self-optimising behaviours, provide the foundational principles
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total of 20 PhDstipends. The AI-Xpertise Lab is a part of the AI:X initiative with fourPhDstipends and is a collaborationbetween the Department of Architecture, Design and Media Technology, The Technical
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the frameworks necessary to continuously verify AI safety in operational contexts, leaving systems vulnerable to unpredicted behaviors. The proposed framework provides a comprehensive solution by designing
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establishing events and aiding future design improvements. Currently, there remains a paucity of data in this domain, making it difficult to identify any notable trends and associated failure mechanisms