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large datasets, and applying AI approaches (e.g. machine learning, image segmentation, multimodal AI data integration) will be considered advantageous. Strong skills in communicating scientific results
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species and vegetation ecology), advanced statistical modelling using R software, and conducting fieldwork under harsh environmental conditions. A successful applicant should have good skills in English and
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willingness to learn bioinformatics are required. Skills where hands-on experience is considered an advantage: functional genomics (e.g. ChIP-seq, RNA-seq, ATAC-seq) genotype-phenotype associations (e.g. GWAS
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