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change. The postholder will be based at the School of Mathematics and Statistics, University of Glasgow working with Prof Christina Cobbold and will work jointly with project partners Drs Steven White and
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equivalent A2 A comprehensive and up-to-date knowledge of the wider subject area or subject specialism Desirable: B1 An awarded [or recently submitted or near completion] PhD in subject specialism or
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of specific virus resources in line with CVR research priorities. The post is suited to a highly motivated individual with a keen interest in virus research and with relevant experience, and/or Masters or PhD
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Framework level 11) or PhD (Scottish Credit and Qualification Framework level 12). Or Equivalent professional qualifications in a relevant academic/research discipline, and experience of personal development
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of this project, the candidate will be working on: 1. Paediatric AML patient material in Multiparametric Flow assays 2. Clinical data and statistical methods 3. Leukaemia stem cells
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statistics, as well as substantiated knowledge of machine-learning and Artificial Intelligence (AI) methods applied to Earth Observation geospatial data (e.g., satellite imagery, sensors, street view images
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or near completion) PhD in subject specialism or equivalent For appointment at grade 7: Essential: A4 Normally Scottish Credit and Qualification Framework level 12 (PhD) or alternatively possess
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completion) PhD in subject specialism or equivalent Knowledge and Skills Essential: C1 Knowledge of a variety of modelling techniques from statistics, machine learning, or related disciplines, including
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the format explained below you will not be shortlisted for interview. Qualifications Essential: A1 PhD in Virology or other relevant subject, or alternatively possess the equivalent in professional
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. Knowledge, Qualifications, Skills and Experience Knowledge/Qualifications Essential: A1. Scottish Credit and Qualification Framework level 11 or 12 (Post Graduate or PhD Qualification), or equivalent