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through long-term impact assessment and optimization. The goal is to develop a framework to estimate carbon emissions across AI's development, operation, and use. This framework enables stakeholders
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of Engineering, to work on an EPSRC funded project – ‘Engineering Twist'. The project aim is to develop experimental approaches to characterise enriched continuum models for mechanical metamaterials, and their
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, developing cutting-edge solutions for real-world challenges in financial services. You will lead and contribute to innovative research projects in machine learning, synthetic data, LLM orchestration, and RL
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in the Department of Chemistry, University of Oxford, for a period of up to 3 years. The project involves the development of methods to use light to regulate transport of amino acids and to engineer
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to the development of digital enablers for authentic real-time performance data and responsible decision-making, by putting user needs at the centre. The successful candidate is expected to: shape and engage in
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buildings and their evolving significance. By pioneering a novel theoretical framework and advancing innovative research methods, the project aims to profoundly influence the development of future landmarks
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to understanding the origins and progression of paediatric brain tumours and developing new therapeutic strategies. The lab combines genetic engineering, molecular biology, and translational research to investigate
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tools are need during the development of new imaging and sensing systems. With the rapid deployment of data-driven methods, repliable uncertainty quantification remains a big challenge that requires
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with the appropriate skills and knowledge, required to lead and develop experiments to meet the project goals. The post holder will be expected to be familiar with laser spectroscopy and have experience in atomic
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the training dynamics. This project seeks to establish a mathematical framework for closing this loop by quantitatively measuring and analysing the evolution of neural networks during training. We will explore