441 structural-engineering "https:" "https:" "https:" "https:" "https:" "VIETNAMESE GERMAN UNIVERSITY" Postdoctoral research jobs in United Kingdom
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initiative combining solar, wind, battery storage and next-generation digital and modelling tools. This exciting role would suit a researcher who thrives at the intersection of engineering, data science and
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web pages on https://www.durham.ac.uk/research/current/research-culture/ The Role Applications are invited for a Postdoctoral Research Associate in Mathematics with a particular emphasis on probability
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mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong programming proficiency in R
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combining solar, wind, battery storage and next-generation digital and modelling tools. This exciting role would suit a researcher who thrives at the intersection of engineering, data science and industry
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please contact Dr Niklas Ihssen. All enquiries will be treated in the stricktest confidence. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405451/postdoctoral-resear
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, please contact Professor Keith Channon: keith.channon@cardiov.ox.ac.uk or cvm_personnel@cardiov.ox.ac.uk. For more information about working at the Department, see https://www.rdm.ox.ac.uk/ The University
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information please visit: https://www.gov.uk/skilled-worker-visa. As a valued member of our team, you can expect: 1 A warm welcoming and engaging organisational culture, where your talents are developed and
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complete in silico framework to accelerate the discovery of novel Polyhydroxyalkanoate (PHA) structures, which includes the creation of a high-throughput computational pipeline designed to engineer advanced
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at Delft University of Technology and AAC Clyde Space. The successful candidate will take part in a space-based climate cooling design study to assess the requirements for a low cost, small-scale sunshade
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Christopher Yau (http://cwcyau.github.io ) at the Big Data Institute, University of Oxford. This post will contribute to the development of a new simulation-based pre-training framework for building more robust