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, alongside advanced understanding of genetic resource conservation and forest ecology. Technical proficiency: Experience with GIS, databases, and genetic and statistical methodologies; familiarity with R is
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quantitative research methods (e.g., statistical analysis, survey design). An interest in EU health data governance, including the EHDS regulation, and health information systems. Excellent written and spoken
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datasets to specialised colleagues. Experience with large datasets, statistical analysis, and programming in R is considered an asset; A flexible attitude towards working hours, for example in relation
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