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. The salary for this post is £41,064 - £48,822 per annum. Your skills and attributes for success: A PhD in mathematical or theoretical physics, obtained prior to the start date of the position. A track record
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for candidates who wish to broaden their career development. Your skills and attributes for success PhD in Mathematics (or near completion) Strong background in probability theory Ability to conduct independent
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, or be close to completing, a PhD in mathematics or a related discipline, and possess sufficient specialist knowledge in either random matrix theory, analytic number theory or probability to work within
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, law, social science and the creative arts. You will be part of Edinburgh’s world-leading Applied and Computational Mathematics Group, providing a friendly and vibrant research environment. You will also
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discipline of mathematics in research and teaching, without making an arbitrary separation into pure and applied fields. We are looking for an open, innovative, and productive colleague who enjoys working in
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of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics, all departments highly rated in research activities and a wide-ranging portfolio
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of statistical physics and applied mathematics, as well as on close collaboration with experimental groups. At present there are two main research areas in the group: probing how epigenetic memory states are set
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hours a week during the academic terms. You will have, or be close to completing, a PhD in applied mathematics or a related discipline, and possess sufficient specialist knowledge in the discipline to
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the Department of Informatics, part of the Faculty of Natural, Mathematical & Engineering Sciences (NMES). The department is internationally recognised for its contributions to robotics, AI, and human-centred
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on engineering novel heritable traits in the mosquito. Mathematical modelling informs every step of development, from testing new ideas for utility and sensitivity to various deviations from 'ideal' implementation