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, operations research, computer science, mathematical finance, or a related field, the successful candidate will demonstrate the ability to develop independent research ideas and contribute to advancing our
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-geostrophic idealised model and use operational and bespoke Met Office model output for case study analysis. You will have : a PhD in atmospheric science, engineering, physics or mathematics (or a closely
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27 Aug 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United Kingdom
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an available option. Applicants with a range of academic subject backgrounds are welcomed, including natural sciences, epidemiology, engineering, statistics and applied mathematics with experience and
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available option. Applicants with a range of academic subject backgrounds are welcomed, including natural sciences, engineering, statistics and applied mathematics with experience and/or growing interest in
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. To address these questions, we combine a series of interdisciplinary approaches ranging from experimental embryology and fluorescent microscopy to mathematical modelling. The lab is highly interdisciplinary
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, including but not limited to Earth Sciences, Physics, Mathematics and Engineering, together with relevant experience. You will possess sufficient specialist knowledge in either volcanic plume dynamics and/or
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collaborative research environment. Education, Qualifications and Experience We are looking for outstanding candidates with a PhD in physics, electrical engineering, applied mathematics, computer science, or a
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Pay Scale: STANDARD RESEARCH GRADE 7 Salary (£): £42,794 – £47,779 per annum Location: Department of Biochemistry, South Parks Road, Oxford Contract type: Fixed Term Contract for up to 3 years in the first instance Hours: Full Time (37.5 hours per week) THIS POST IS A READVERTISEMENT, PREVIOUS...
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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 to analyse datasets