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opportunities allow. As part 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
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presentations. Desirable: D1 Experience with statistical analyses. D2 Experience in proteomics D3 Data handling and management skills. Experience Essential: E1 Sufficient breadth and/or depth of knowledge in
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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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Statistics at the University of Glasgow. This project is funded by the Engineering and Physical Sciences Research Council (EPSRC) and is available for a period of 30 months. The successful candidate will also
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science, AI, data science, computer vision, mathematics, statistics or research software engineering. A3 A comprehensive and up-to-date knowledge of the wider subject area or subject specialism A4 Knowledge
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or related role(s) Knowledge, Skills Essential: C1 Specialist theoretical and practical knowledge of quantitative survey analysis, including appropriate statistical methods for population survey
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including team working and a collegiate approach C5 Ability to manage time and workload effectively C6 Data analysis, statistical, and interpretation skills C7 Problem solving skills including a
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Browell, and collaborators at NatWest Group’s Climate Data and Technology team. The successful candidate will have a quantitative background in any subject area, with a knowledge of statistics, machine
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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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C6 Extensive IT and data analysis/interpretation skills, including ability to conduct advanced statistical analytical techniques using a relevant software package (e.g. R, Stata, SAS). C7 Self