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creating inclusive environments. Flexible and Supportive: Tailored training and career development designed to balance professional growth with personal commitments. State-ot-the-art Research: Engage in
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learning methods to understand and investigate the functional behavior of gender-specific cancers. The work will include: Development of ML/DL methods for multi-omics data analysis. Design and implementation
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gender equality and diversity as a strength and an asset. Description of the workplace The Department of Immunotechnology conducts research ranging from advanced technology development to biomedical
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mutations in ageing by measuring somatic mutation rates in honeybee castes and experimental evolution lines of seed beetles. Quantifying somatic mutations on a genome scale with high fidelity is
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biology to pioneer research in immunology using single-cell and spatial transcriptomics data. The focus will be on development of novel computational methods for gaining fundamental insights into healthy
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experience in handling large metagenome datasets (first author publication/s in the topic are required). Relevant experience in R and/or python programming (eg. pipeline development for metagenomic data