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in our CRM system. 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
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, (agro)ecology, or geography with strong expertise in ecological modelling or crop modeling. A strong statistical background and programming experience in R/Python is also necessary. Experience in working
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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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sciences (e.g. psychology, health economics, statistics, informatics, genetics) that underpin research at the faculty; and expertise (psychology, service research and improvement science) that improves
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statistics) 8. Experience with clinical research and understanding of research methodology 9. Experience with data analysis 10. Good interpersonal skills to develop and maintain effective working
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, and managers) Experience in data analysis and statistical tools Preferable experience with advisory work Who we are The Department of Ecoscience is engaged in research programs and advisory work
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, stakeholders, and managers) Experience in data analysis and statistical tools Preferable experience with advisory work Who we are The Department of Ecoscience is engaged in research programs and advisory work
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genetics, animal breeding, statistics, or a related field. Proficiency in statistical analysis of genetic data related to insect breeding and experience in developing insect breeding strategy. Experience
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methane emission traits in dairy cattle. The candidate must have Ph.D. degree in quantitative genetics, animal breeding, statistics, or a related field. Proficiency in statistical analysis of genetic data
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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