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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 Either the ability to undertake training
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Job Purpose The post holder will drive an interdisciplinary artificial intelligence (AI) for cancer project as part of the Glasgow Living Lab. The project will develop novel AI models to integrate digital histology and cutting-edge spatial omics data to predict patient outcomes. The post holder...
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having acquired the necessary 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
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Experience Knowledge/Qualifications Essential: A1 Scottish Credit & Qualification Framework level 4 in English and Mathematics or equivalent, and some experience of working in a similar role. Or ability
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Job Purpose To make a leading contribution to a recently funded EPSRC project with Dr Gordon Hedley on developing novel measurements of light emission and absorption in single molecules of organic semiconductors using quantum optics. This work is in collaboration with colleagues in Tokyo and...
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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
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We take a highly interdisciplinary approach to the study of infectious disease that combines mathematical and statistical modelling with ecology, evolutionary biology, parasitology, immunology and
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processing of large datasets, the use of Geographical Information Systems and mathematical modelling. The student will be supervised by an interdisciplinary team of researchers with expertise in applying
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immunology, viral ecology, clinical virology, virus epidemiology, mathematical modelling and bioinformatics. PhD: 3-4 years full-time; 5 years part-time; MSc (Research): 1 year full-time; 2 years part-time; MD
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Our Doctoral Training Programme focuses on training PhD students in key MRC skills priorities in quantitative skills (mathematics, statistics, computation, and developing digital excellence) as