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well as access to the group dedicated computing cluster environment with H100, L40s, and A40 GPUs. This post is funded by the UKRI Future Leaders Fellowship, a flexible long-term public funding scheme
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This post is a postdoctoral research assistant role within Prof Robert House’s Group in the Department of Materials. The post will be fixed-term until 31 March 2027 (with potential to extend until 31 September 2028) in association with a new Faraday Institution-funded project entitled...
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
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annum inclusive of Oxford University weighting Potential to under fill at grade 06RS: £34,982-£40,855 per annum inclusive of Oxford University weighting The Department of Computer Science seeks to employ
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Programme Manager, using the contact details below. Only online applications received before 12.00 midday on 29th August will be considered. Interviews will be held as soon as possible thereafter
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, and building up an independent research profile you publish internationally and present papers in conferences and workshops give you independently teach courses in the BA program (proseminars), one
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excellent computational skills. The post is attached to Prof. Eric French's Montague Burton Professorship. The research aims at exploring and understanding the drivers of medical spending, and how medical
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the starting date is negotiable. The current funding is guaranteed from the Montague Burton Fund. We are looking for a candidate who is a health economist with excellent computational skills. The post is
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/equality-diversity.htm and also our award-winning work in Disability Inclusive Science Careers https://disc.hw.ac.uk/ . Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards
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of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve