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-on experience with LC-(ESI)-MS/MSwith metabolomic or proteomic samples is highly desired Experience in metabolite and protein extraction, MS data analysis tools and gel electrophoresis techniquesis highly desired
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track record of achievements will also be considered. Further information on the scientific interests of the SNQS group can be found at the group webpage. https://www.wsi.tum.de/views/groups.php?group
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 11 days ago
candidate has excellent quantitative and data analysis skills, a proven ability to work independently, and a collaborative mindset. They will be expected to lead their own research projects, contribute
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for the Public Service). All information on the TVöD-Bund collective agreement can be found on the BMI website: https://go.fzj.de/bmi.tvoed The monthly salaries in euros can be found on page 66 of the PDF
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of Computation, Information and Technology (CIT), located on the Garching Campus, starting October 01, 2025 or later. The group is seeking a highly qualified candidate for a postdoctoral position who possesses
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conferences and the preparation of project reports. Develop and apply software tools. Documentations of software and data according to the FAIR data principles. Contributions to workshops and training
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reports Develop and apply software tools Document software and data according to the FAIR data principles Contribute to workshops and training activities Your Profile: Master with subsequent PhD degree in
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The project will require coding for data analysis and statistics, as well as NGS data analysis. Experience with either of these would be advantageous but an eagerness and commitment to learn is more important
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seeks to increase the proportion of women in those areas where they are underrepresented, therefore applications from women are explicitly en-couraged. Data protection As part of your application for a
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, troubleshooting and routine upkeep Develop, optimize and validate sample-preparation and data-analysis workflows for spatial metabolomics, lipidomics and multimodal studies Act as contact for internal and external