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Field
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Department This position is part of a new Advanced Research + Invention Agency-funded project, subject to contract negotiations, part of the Accelerating Adaptation programme (see https
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to a variety of social and sports clubs About the Role This project is associated with an exciting new EPSRC/UKRI-funded Programme Grant entitled “Advanced Device Concepts for Next-Generation
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Morten Kringelbach, is seeking a Postdoctoral Researcher to join its interdisciplinary contemplative science research programme. What We Offer As an employer, we genuinely care about our employees
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, Computer Science, Machine Learning, Artificial Intelligence, Engineering, Mathematics, Operations Research, Economics, Finance, or a closely related subject. Preference will be given to candidates with strong
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outcome sets. You will either need a PhD (or be nearing completion), in computer science, data science, artificial intelligence/machine learning (AI/ML), health data science, bioinformatics or a related
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) in Psychology, Cognitive Science, Computational Linguistics, Linguistics, Computer Science, or a related field. Strong quantitative, statistical, or computational programming skills (e.g., R, Python
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in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD (or near completion) in a relevant subject area (including Computer Science, Engineering
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The Role Applications are invited for a Postdoctoral Research Associate position in the Department of Engineering, with a focus on advanced solid oxide fuel cell (SOFC) modelling, three-dimensional
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hold a relevant PhD/DPhil or be near completion* in one of the following: Finance, Mathematics, Statistics, Econometrics, Computer Science, or a closely related subject (preference will be given to those
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this, the postdoctoral researcher will combine machine learning, molecular dynamics simulations and high performance computing (Isambard AI). Applicants must have a PhD in an appropriate area of computational chemistry or