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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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Job Purpose Sitting within the Research Computing as a Service team within University Services, the Research Software Engineer (Mathematics and Statistics) will play an essential role in leading
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The School of Mathematics & Statistics combines world-leading research expertise in pure mathematics, applied mathematics and statistics. Our research in statistics impacts across a range of areas
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& Experience Knowledge/Qualifications Essential: A1 Framework Level 3 in English and Mathematics [National 3] or equivalent. Skills Essential: C1 A high degree of accuracy and attention to detail. C2 Ability
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Job Purpose To make a leading contribution to a project on Integrated Sensing & Communication at Terahertz with Prof. Qammer Abbasi/Prof. Muhammad Imran . You will be working on various use cases related to healthcare and metamaterials for 6G. The successful candidate will also be expected to...
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Job Purpose To make a leading contribution to a project titled ‘’The Effect of Shock on Hydrous Phases – Reinterpreting Planetary Water contents’’ working with Dr. Lydia Hallis. The successful candidate will also be expected to contribute to the formulation and submission of research...
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Job Purpose As part of the research team at the Microelectronics Lab (meLAB: www.melabresearch.com ) within James Watt School of Engineering, you will be responsible for leading and supporting the successful delivery of both the NEUROBOT project funded by ARIA and the meLAB research activities...
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knowledge and skills 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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in the School of Mathematics and Statistics, where research on Foundational AI is being actively pursued. Purely as a guide, candidates might typically have published in conferences such as ICML
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the institutes. A variety of approaches are used, including ecology, epidemiology, mathematical, computational and statistical modelling, bioinformatics, parasitology, immunology and polyomics (genomics