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, analytical chemistry, and bioinformatics approaches. The aim is for the successful candidate to be enrolled in the Doctoral School of Chemistry (DosChem) of the Faculty of Chemistry of the University of Vienna
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for a Postdoctoral Researcher with expertise laboratory methods for ONT (Oxford Nanopore Technologies) long-read sequencing based DNA and RNA analysis and bioinformatic methods relevant to the study of
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molecular biological, analytical chemical, and bioinformatic approaches. The aim is for the successful candidate to be admitted to the Doctoral School for Chemistry (DosChem) at the Faculty of Chemistry of
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, analytical chemistry, and bioinformatics approaches. The aim is for the successful candidate to be enrolled in the Doctoral School of Chemistry (DosChem) of the Faculty of Chemistry of the University of Vienna
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microbial activity (e.g. stable isotope tracing), or in genome/-omics analysis is advantageous, but not required. Bioinformatics skills such as working knowledge of R and scripting languages, as well as a
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assembling and analysing chromosome-level genomes Experience identifying genomic targets of selection Excellent molecular biology lab skills Excellent bioinformatic skills At least one peer-reviewed
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chem- and bioinformatics to computer vision and social network analysis. Machine learning with graphs aims at exploiting the potential of the growing amount of structured data in all these areas
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portfolio. The successful candidate will work with interdisciplinary teams (clinical, analytical, and bioinformatic scientists), apply shotgun lipidomics and related analysis to various fields, and streamline