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for someone with experience / wish to learn some of the following: complex chemical systems, reaction diffusion, analytical chemistry, chemical engineering. For appointment at Grade 8 some post doctorial
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, written, and oral communication skills in English. Exhibit strong organisational skills and the ability to meet deadlines and complete projects. Have expertise in machine learning and/or programming (highly
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challenges from low carbon shipping and sustainable fuels to solar power technologies and advanced brain models. Learn more at https://mecheng.ucl.ac.uk . Within this dynamic environment, the Moazen Lab is
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of the Armed Forces Covenant and welcome applications from service people. Further information For further information please contact Prof Peter Ashwin, e-mail P.Ashwin@exeter.ac.uk. The closing date for completed
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Desirable criteria Experience of advanced statistical and/or machine learning methods, such as longitudinal analysis methods, latent variables models, clustering algorithms, missing data and clinical trial
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. The Department seeks candidates with interests in Statistical research at the interface of machine learning and AI. They will have the skills and enthusiasm to lecture graduate level, over a wide range of topics
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‘SCREED: Supergene enrichment of carbonatite-hosted rare earth element deposits’. This post holder will work with Prof. Martin Smith and collaborators at Camborne School of Mines (CSM) - University
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proposals. Have a PhD in biostatistics or related subject with a numerate or computational component (including machine learning, data science, mathematics or a computational science), or a postgraduate
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hospital intensive care unit. The post holder will have primary responsibility for the development and evaluation of the system, and of the data processing and image display software. The post holder will
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Disability Confident employer. We are proud signatories of the Armed Forces Covenant and welcome applications from service people. Further information Please contact Jordi Solana, e-mail j.solana@exeter.ac.uk