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out research work, analytically and numerically, jointly with the co-investigator and the project research team in the area of inference, information build-up and learning methods in the general context
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The Royal Veterinary College, University of London; | Potters Bar, England | United Kingdom | 3 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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mathematical and computational techniques, it is essential to have experience in mathematical modelling / dynamical systems theory / numerical methods / coding. An ideal candidate would have a PhD, or
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
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. The Role Applications are invited for a Postdoctoral Research Associate position in the Department of Engineering, with a focus on undertaking both experimental and numerical studies within the hydrogen
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than 30 people, including parallel post-doctoral researchers in four other countries, and led by Prof Ben Baumberg Geiger at King’s. Secondly, it’s located within the Centre for Society and Mental Health
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a catch: in most real-world scenarios, this equation lives in very high-dimensional spaces, making its numerical solution a serious computational challenge. This project aims to tackle that head-on by
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support a high-value materials characterisation programme as a postdoctoral researcher. The ability to think outside the box with creativity, along with having the drive and ambition to develop those ideas
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The Impact and Shock Mechanics Laboratory (ISML) is seeking a highly motivated scientist to support a high-value materials characterisation programme as a postdoctoral researcher. The ability
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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