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with epilepsy across multiple NHS hospitals. They are expected to have some experience working with NLP in general and LLMs in particular. They will also help to further develop machine learning models
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the direction of Dr Maslovskaya, you will be part of a large multi-institution team of survey data collection methods experts in the UK. You will analyse probability-based NatCen online panel data collected using
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during term time. Research Fellows benefit from up to £10,000 in additional grants over their four-year tenure. These grants support the costs of academic materials, travel expenses, computer equipment
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working with NLP in general and LLMs in particular. They will also help to further develop machine learning models to predict clinical outcomes. Familiarity with current methods in this area is essential
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Fellowships. The EPSRC Postdoctoral Pathway Fellowship is a prestigious scheme aimed at supporting the best doctoral researchers whose PhD studies were funded in part or entirely by the EPSRC. In this round
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interviews, analyse complex data, disseminate findings to a range of different audiences, develop own research objectives, identify sources of funding SRF: As above with additional responsibilities
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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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better preserve the cultural memory of these struggles. To be successful in this role, you should have: A PhD (or an equivalent level of professional experience) in an area of history, theory or practice
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engineering, including machine learning, sustainable construction, climate adaptation, and intelligent tools. Demonstrate future contributions to capacity-building and socio-economic advancement after
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proven interest in AI foundations and its application in civil and environmental engineering, including machine learning, sustainable construction, climate adaptation, and intelligent tools. Demonstrate