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to carry out research in the field of plant breeding, phenotyping, crop modelling, GWAS and genome analysis, particularly in cereals Demonstrated capacity to manage and analyse large data sets. Track record
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using statistical analysis. Experience in project management and working on field projects in the parenting field, and/or experience in working on large scale projects using administrative data. Relevant
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), clinical trials, disease surveillance, and the use of novel methods including Bayesian network, machine learning, social network analysis and dynamic data visualisation tools. Further information is
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journals, relative to opportunity Demonstrated knowledge and expertise in qualitative methodologies, ideally in a multi-stakeholder setting. Some quantitative skills, including survey design and/or analysis
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and iron making. Detailed knowledge or at least practical skills in electron probe X-Ray microanalysis (EPMA), Scanning Electron Microscopy (SEM), Energy Dispersive Analysis (EDX), Laser Ablation ICPMS