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developing cutting-edge active-learning (Bayesian optimisation) methods that integrate chemical knowledge by capitalising on Large Language Models (LLMs) as well as human knowledge. You should have a PhD in
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from North Yorkshire to create immersive experiences that enable us to test our approach. You will also develop authoring tools appropriate for integration with popular creation software and engage with
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the guidance of Professor Emmanuil Georgoulis. Relevant skills are a PhD (or near completion of a PhD) in Numerical Analysis, or Scientific Computing, or related field. The position requires good programming
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have received their PhD in a relevant subject area within 5 years of the start date. During the two-year appointment, the CEL Post Doctoral Research Associate will be fully integrated within the research
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Applications are invited for a Postdoctoral Researcher to work on developing cutting-edge genomics methods. The main focus of the work will be on unravelling the intricate relationship between
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the public engagement of science, and the translation of research findings into improvements in health care. • To assist in the training of PhD students and other members of the LMB. Key responsibilities
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strong foundation in early modern studies, demonstrated through a good first degree in a relevant subject (e.g. English Literature, History), a completed PhD in a related discipline, and a record of
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programme and faculty priorities. The successful candidate will hold a PhD within the field of modern Arabic studies. They will be able to demonstrate an upward research trajectory and have experience
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the vibroacoustic complexity of environments, and developing experimental methods to increase accessibility of this area of research to the wider scientific community. You will lead, plan, execute and trouble-shoot
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funding. You will be responsible for the development of novel acquisition, reconstruction, image analysis and/or modelling methods for cerebrovascular magnetic resonance imaging (MRI) to improve