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Supervised Machine Learning and Reinforcement Learning. The objective is to significantly enhance battery performance and longevity. While conventional methods rely on either physics-based models or high-level
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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Limited. The Knowledge Transfer Partnership project will focus on developing technically and commercially viable gas diffusion layers for high-volume applications using recycled carbon fibre, creating a
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deployment, ensuring that all deliverables meet high standards of performance, scalability, and user experience. This is an exciting, dynamic position offering the chance to engage with cutting-edge
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performance computing, and engineering software development are also of interest. Proven track record of publishing high-quality journals is required for the Research Fellow position. Ability to communicate
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the College’s research programme, as well as being able to teach high-achieving graduate students. Additionally, they will possess excellent oral and written communication and interpersonal skills and
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will lead a project funded by the Grace Kelly Cancer Childhood Trust to test the performance of this tool, further develop and improve the tool, increase the number and range of tumours the programme
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, to satisfy end-user requirements for performance, size, weight, power and cost. You can expect to see your outputs integrated and used in real-world high Technology Readiness Level systems across a range of
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(https://www.cam.ac.uk/research/research-at-cambridge/strategic-research-initiatives-networks ). The School of Biological Sciences has state of the art facilities in imaging, high performance computing and
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administer new play-based measures of executive functioning. The Research Fellow will lead on project initiation, participant recruitment, data collection, data management and analysis, report writing