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Job id: 115685. Salary: £44,355 - £47,882 per annum, including London Weighting Allowance). Posted: 21 May 2025. Closing date: 18 June 2025. Business unit: Natural, Mathematical & Engineering Sci
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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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programming skills, in depth knowledge of MR theory, and experience with the acquisition and analysis of (preclinical) MRI data, as well as with mathematical modelling and image processing methods. Experience
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to drive the generation and analysis of data, to present at conferences, contribute to writing of papers and future grant applications. This is an exciting area of research using an in vitro model of human
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Criteria: Qualifications A good first degree in Mathematics, Physics or a related subject. A PhD (or be close to submission) in Applied Mathematics, Solar Physics, or a related subject. Experience Experience
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collaborations. Key Duties and Responsibilities The post holder is required to; Work with colleagues and line manager to devise and perform experiments, modelling and analysis consistent with the goals
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and PhD students. Research spans a wide range. Current interests include: Bayesian statistics; modelling of structure, geometry, and shape; statistical machine learning; computational statistics; high
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work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities
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work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities
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Criteria: Qualifications A good first degree in Physics or Mathematics. A PhD (or be close to submission) in Theoretical or Mathematical Physics or a related subject. Experience Experience in conducting high