233 data "https:" "https:" "https:" "https:" "UCL" positions at Technical University of Munich
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acknowledged the above data protection information of TUM. Kontakt: maxi.weininger@tum.de More Information https://www7.in.tum.de/~kretinsk/positions.html
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that you have acknowledged the above data protection information of TUM. Kontakt: moran.balaish@tum.de More Information https://ecm-tum.de
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information). If applicable: List of relevant projects and publications. Optional: A letter of recommendation from your MSc thesis supervisor. Applications will be reviewed starting 30 April 2026 and will
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: henriett.kakonyi@tum.de More Information https://www.ie.mgt.tum.de/tim/news/article/new-phd-position-at-the-tim-chair-1/
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test test The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection
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professional performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information
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advanced wet-lab experience in molecular biology and in reverse genetic approaches. • You are familiar with FAIR data handling and in silico data analysis. • You work precisely and reliable. YOU FIT TO US
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recovery efficiency. Working closely with our experimental collaborators, you will analyse and model experimental data to efficiently explore the large design space of membrane functionalization and
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, functional data analysis, ideally, analysis of NGS/ RNA data • Proficient skills in one or more of the major statistical environments as R and/or Python • Experience working with life scientists would be
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of novel catalysts by electrochemical flow cell measurements that will be coupled to on-line analytics (c.f. https://www.nature.com/articles/s41563-019-0555-5). Specifically, an in-house designed flow cell