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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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cytometry or quantitative image-based data analysis. Knowledge of microbial bioinformatics workflows, or a willingness to develop these skills during the PhD, is an advantage. A structured approach to
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two-year master's degree (120 ECTS points) in Biotechnology/Systems Biology/Bioinformatics or a similar degree with an academic level equivalent to a two-year master's degree. We offer a supportive
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that will have impact on world level challenges, this PhD position is for you! The project is supervised by Alberto Santos Delgado at the Technical University of Denmark part (DTU) and co-supervised by Prof
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mandatory: Experience with bioinformatics including NGS (Nanopore, Illumina, PacBio) Experience with automation and coding in Python or other programing languages Experience with protein software tools like
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biology, or analytical workflows. Interest in single-cell analysis, cancer biology, and translational research. Basic level expertise in computational biology (e.g., bioinformatics, machine learning), with