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under-represented in Mathematical Sciences and strives to maintain an environment where people can be their authentic selves. You will be able to carry out duties to the highest standard and to evidence
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successful and growing apprenticeship programmes. We are seeking a candidate with experience in data science, and related disciplines of computer science, mathematics, statistics. We are particularly
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be close to completing a PhD in computer science, mathematics, or a related area with a topic close to type theory or constructive mathematics. Expertise can be evidenced through publications
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the diversity of our existing team. The School is committed to creating opportunities for people traditionally under-represented in Mathematical Sciences. You will be able to carry out duties to the highest
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scientific articles for publication in leading peer-reviewed journals. Candidates must hold, or be about to obtain, a PhD in engineering, applied mathematics or a related subject area, with a major component
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candidates with: • Relevant subject matter experience at required level (e.g. 2.1 or above undergraduate degree in physics, mathematics or computer science) • Willingness to adapt and work across different
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Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after
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Research Associate/Fellow position at the School of Mathematical Sciences, Nottingham, for the duration of 3 years. The project deals with the development of mathematical tools and models to determine the
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of the Statistics and Probability (SP) Section. The School of Mathematical Sciences was ranked in the top 3 for quality of research environment and with 98% of our research being classed as ‘world-leading
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the results of this project. Candidates must possess a good first Degree (or Master's) and PhD (or near competition) in Engineering, Mathematics, Physics, Computer Science, or related disciplines. Your working