87 parallel-processing-bioinformatics-"Washington-University-in-St" positions at UNIVERSITY OF VIENNA
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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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water-NanoSIMS assay), and process measurements. This is part of your personality: We are looking for a highly motivated candidate with an excitement and enthusiasm for soil microbiology and for learning
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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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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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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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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
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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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knowledge of Modern Greek, Ancient Greek, and Latin IT skills, computer literacy Ability to work in a team Desirable: Knowledge of university processes and structures Initial experience in academic writing
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insights into innovation processes and policy design. The Theory Testing Lab at the University of Vienna focuses on empirical analyses of pharmaceutical innovation, developing and leveraging large-scale