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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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interface of microbiology, chemical ecology, bioinformatics and drug discovery, contributing understanding that can support development of new antibiotics against Gram-negative bacteria. The project is funded
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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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Bioinformatic analysis of single cell transcriptomic data Key criteria for the assessment of the applicants The following requirements for the candidate will be assessed as key criteria for the recruitment
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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