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for the South African context. This post will be offered on a part-time (1 day per week), fixed term contract for 6 months. Key responsibilities Carry out statistical analyses of an existing risk/ resilience
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EMG signal processing to extract relevant features related to diaphragm muscle strength Perform statistical analysis to evaluate the relationship between MMG/EMG-derived indices and clinically measured
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on developing statistical and quantitative modeling approaches to genomic and phenomic data and apply these models for understanding the genetic mechanisms underlying variation in agronomic traits
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documentation software, including git and Markdown. 6. Experience with statistical genetics approaches for functional genomics, including linkage disequilibrium score regression, cell type deconvolution and
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require extensive data cleaning expertise and will apply advanced statistical techniques including predictive modelling, natural language processing and the development and validation of an explainable
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. Specific skills and experience in using python, R, SAS or other tools used statistical data analysis is mandatory. We are looking for a candidate with proven collaborative skills and the ability
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molecular evolution, molecular population genetics, and statistical and algorithmic approaches to bioinformatics, and our research spans from addressing purely theoretical questions, to program development
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Familiarity with research data and/or GDPR Competent in the Unix shell and with experience in an HPC environment Practical experience with R and/or other statistical tools Familiarity with cloud computing
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. Supervise statistics collection and support our data tracking. Track and keep updated public information on our programs in relevant channels. Handle evaluations of our programmes. Assist the rest of the team
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: managing the annual cycle of work, providing information and advice, drafting reports, collating and analysing information and statistics and contributing to reports required by the funder, and internally by