165 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "J" "J" positions at Leibniz in Germany
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programming skills in Python Experience with scientific Python tools such as pandas, scikit-learn, matplotlib, and Jupyter; experience with PyTorch is a plus Familiarity with microbiome data analysis
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channels, rhomboid proteases) and supramolecular assemblies by an integrated structural biology approach focused on solid-state NMR and cryo-EM (Mohr et al., J. Am. Chem. Soc. 2025; Öster et al., J. Am. Chem
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, certificates and description of previous professional activities electronically via the MBI online recruiting platform at https://mbi-berlin.de/career . The advertisement is open with immediate effect and will
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
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familiar with data analysis using programming languages like R, and/or Python. You have excellent communication skills and a willingness to collaborate across disciplines. You fit to us: if you have strong
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its employees in reconciling work and family life and regularly undergoes the audit berufundfamilie® . Further information at: http://www.ifw-dresden.de . The Group Microsystems Technology of
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good methodological knowledge in the field of quantitative empirical social research and confident use of statistical programs (preferably Stata) Experience in questionnaire design and data collection as
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special payment) Contribution to your company pension plan (VBL) On-site opportunities for health promotion Who we are: The Leibniz Institute of Plant Biochemistry (IPB) is a non-university research
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– company pension plan Senckenberg is committed to diversity. We benefit from the different expertise, perspectives and personalities of our staff and welcome every application from qualified candidates
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cooperation partners in their research projects with state-of-the-art light and electron microscopes (https://www.leibniz-fmp.de/cellular-imaging ). We work with proteins, cell cultures, and model organisms