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the ERC Starting Grant research project “Exploiting Nanopore sequencing to discover what microbes eat (NanoEat)” with the aim to combine state-of-the-art metagenome sequencing with state-of-the-art data
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molecular cell biology and next-generation sequencing (NGS) to support the laboratory work in the research group and section. Our research group consist of 25 people and the FGM section of about 100+ people
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specialist to join our growing research team. In this role you will design, implement and optimize advanced screening workflows using molecular barcoding, next-generation sequencing, as well as design of
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the Oxford Nanopore sequencing platform and improve genome recovery from metagenomes by developing new binning algorithms based on machine learning. The postdoc will be part of the Microbial Metagenomics group
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modifications using high-resolution mass spectrometry and AI-based de novo peptide sequencing. Develop and apply machine learning models to predict protease activity and substrate specificity, integrating protein
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altering species compositions and interactions. At the same time, environmental DNA (eDNA) sequencing has become an increasingly efficient approach for obtaining biological information. As part of a new
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altering species compositions and interactions. At the same time, environmental DNA (eDNA) sequencing has become an increasingly efficient approach for obtaining biological information. As part of a new