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Job Purpose To carry out research and scholarship in the area of Applied Mathematics (broadly construed and including integrable systems and mathematical physics), deliver an excellent student
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Job Purpose We are seeking a highly motivated postdoctoral associate to develop a mathematical framework able to model the population dynamics of migratory wildebeest in Serengeti National Park
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The School of Mathematics & Statistics combines world-leading research expertise in pure and applied mathematics and statistics in areas such as mathematical biology, fluid dynamics, geometry and
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contribute to the mathematical and computational modelling theme of the project, working under the guidance of Dr Sean McGinty, Prof Nick Hill, Dr Ankush Aggarwal and Dr Hao Gao. You will contribute
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to undertake the duties associated with this level of post gained through working in a similar role. Or: Scottish Credit and Qualification Framework level 4 in English and Mathematics [National 4 or equivalent
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gained through working in a similar role. Or Scottish Credit and Qualification Framework level 4 in English and Mathematics (National 4) or equivalent, and some experience of working in a similar role. A2
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on the programme please refer to: Desirable: B1 Higher Grade Mathematics at A Grade. B2 Higher Grade Computing Science. B3 Some knowledge of programming languages. Skills Essential: C1 Good analytical and problem
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. Knowledge, Qualifications, Skills and Experience Knowledge/Qualifications Essential: A1 Scottish Credit & Qualification Framework level 4 in English & Mathematics or equivalent, or experience of working in a
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Research Associate College Of Medicine Veterinary and Life Sciences School of Cardiovascular and Metabolic Health GRADE 7 Job Purpose To make a leading contribution to a project investigating the role of the Calcium sensing receptor in adipocyte and vascular biology working with Dr Laura...
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and independent thought/working. C15 Problem solving skills including a flexible and pragmatic approach. Desirable D1 Knowledge of mathematical modelling approaches. D2 Good knowledge and understanding