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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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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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two referees (name, relation to candidate, e-mail and telephone number) All documents must be uploaded as attachments to the electronic application form. It is the applicant's responsibility to submit
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of publications and academic work Contact details for at least two referees (name, relation to candidate, e-mail and telephone number) All documents must be uploaded as attachments to the electronic application