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) that combines a mix of remote and regular on-campus working. Your skills and attributes for success: Essential PhD (or near completion) in Computer Science, Physics, Mathematics, or related field
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interact and collaborate with other Postdoctoral Scientists, Research Support staff and Students, not only in your group, but also across the LMB and with external groups as necessary. You will have day to
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to the smooth running of the Group’s laboratories with other scientists, technicians and students, whilst maintaining highly organised and accurate records of experimental work and findings. You must hold a
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and how it may respond to vaccination. You will supervise master’s and PhD students, and support the overall efforts of the lab. This post offers the opportunity to engage in cutting-edge translational
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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Putts; and inflammatory genetics. The successful candidate will support other researchers and MSc/PhD students. They will develop novel scientific questions and lead on the analysis of specific aspects
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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
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The Royal Veterinary College, University of London; | Potters Bar, England | United Kingdom | 5 days ago
). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural dynamics simulations to recover dynamic strain and flow fields
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work closely with Prof. Hanna Kienzler, Prof. Stephani Hatch, and Dr Rebecca Rhead as part of the Centre’s ‘Marginalised Communities’ programme. This involves partnering with Black and racially
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are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods