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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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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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accountably. This is where you come in. Your mission Working at the intersection of privacy research and real-world engineering, you'll design and build a computational stewardship engine—an autonomous agent
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, and motivated to improve workplace safety in healthcare technologies and to work across research, industry, and medical engineering. Methodology The overall aim of the project is to design and evaluate
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attention to boundary conditions and heterogeneity. The outcomes will support improved design, risk reduction and development of low-carbon geothermal resources. This project addresses sustainable resource
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to the discovery of new medicines is the time taken to design, synthesise and test compounds through multiple cycles of optimisation. You will seek to develop an approach to reduce that time through development
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testing potential drug candidates in high-throughput. One of the barriers to the discovery of new medicines is the time taken to design, synthesise and test compounds through multiple cycles of optimisation
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deliver the first comprehensive CFD-DEM model of the quartz chlorination process, providing mechanistic understanding and predictive tools for industrial-scale process design. The outcomes will directly
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. Our implant combines photonics, microelectronics, embedded systems, advanced implant probe design and signal processing. There are opportunities for students from a variety of backgrounds to work on the
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multi-disciplinary, conducting innovative, internationally recognised research in power electronics systems. We specialise in the design and implementation of hardware and control algorithms for real