to analyse, integrate, and visualize multi omics data (proteomics, metabolomics, transcriptomics, etc); to develop bioinformatics tools for data analysis and for data integration using omics data from the whole cell in single or co-culture and from single cells; to share tools and results with the community (e.g. through databases, web applications, presentations at international conferences, publications in peer-reviewed journals, etc); to take initiatives and responsibilities in the planning of research activities, including working in close collaboration with other team members (experimentalists) and external collaborators
Requirements:
Must hold a PhD in Biochemistry, Biotechnology, Cell Biology, Molecular Biology, Bioinformatics, or related disciplines; Extensive and up-to-date theoretical and practical knowledge and proven experience in the field of bioinformatics (programming languages, databases creation, data visualizations, data integration, omics data analysis and interpretation, etc); Extensive and up-to-date theoretical knowledge in the field of at least one omics technique, preferably phosphoproteomics, including proven experience in data analysis and interpretation
Text:
Postdoc in Omics Data Analysis and Integration to analyse, integrate, and visualize multi omics data (proteomics, metabolomics, transcriptomics, etc); to develop bioinformatics tools for data analysis and for data integration using omics data from the whole cell in single or co-culture and from single cells; to share tools and results with the community (e.g. through databases, web applications, presentations at international conferences, publications in peer-reviewed journals, etc); to take initiatives and responsibilities in the planning of research activities, including working in close collaboration with other team members (experimentalists) and external collaborators Must hold a PhD in Biochemistry, Biotechnology, Cell Biology, Molecular Biology, Bioinformatics, or related disciplines; Extensive and up-to-date theoretical and practical knowledge and proven experience in the field of bioinformatics (programming languages, databases creation, data visualizations, data integration, omics data analysis and interpretation, etc); Extensive and up-to-date theoretical knowledge in the field of at least one omics technique, preferably phosphoproteomics, including proven experience in data analysis and interpretation
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