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Experience with yeast physiology and advanced molecular biology. Experience with HT-screening devices and bioreactors. Bioinformatics knowledge (e.g. proteomics, RNAseq, genomics) DC9: Enhanced sustainable
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complete, a master’s degree in computer science, mathematics, statistics, IT, engineering, biotechnology, bioinformatics, economics, or a related field. Experience with programming in Linux environments
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biology, pharmacology and/or immunology. Experience in statistical bioinformatics, including developing analysis pipelines and applying programming (R/Python) to genomic/transcriptomic data. Strong written
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. Strong interest in and understanding of bioinformatics. Good communication skills in English, both written and oral. Experience with international collaboration and the ability to work effectively in
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analytical equipment and microfluidics platforms. Strong interest in and understanding of bioinformatics. Good communication skills in English, both written and oral. Experience with international
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bioinformatics including NGS (Nanopore, Illumina, PacBio) Experience with automation and coding in Python or other programing languages Experience with protein software tools like AlphaFold3, Boltz2, PyMOL
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sequencing, advanced microscopy, CRISPR-based genome editing, and bioinformatics. The lab uses diverse cell models, including embryonic stem cells and their differentiated derivatives. The research in
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qualifications corresponding to a master’s degree related to the subject area of the project, e.g. biology, biochemistry, molecular biomedicine, bioinformatics or similar. Please note that your master’s degree