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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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-actively identify problems and present solutions C5. Extensive IT and data analysis/interpretation skills including ability to analyse and present datasets derived from the QMS, e.g. compliance statistics
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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
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students, setting up contact databases to allow fieldworkers to recontact study participants at multiple time points. The post holder will work closely with researchers undertaking statistical analysis and
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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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across the institution. Main Duties & Responsibilities • Deliver statistically robust insight and analysis into all areas of innovation and economic development, for example, progress against key
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primary tissue culture Cell biology Cell Sorting Genomic engineering (CRISPR, RNA interference) Mass spectrometry Molecular biology Molecular genetics Statistics Tissue culture Use of genetically engineered
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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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, statistical analysis (Excel, R, Prism etc). Experience Essential: E1 Sufficient breadth and/or depth of knowledge in the specialist subject discipline and of research/teaching methods and techniques to work in
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progression, with a particular focus on the role of somatic repeat expansion. The successful candidate will join an ongoing research program to provide statistical and data analysis support to the research team