1,040 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" positions in Germany
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in the use of geometric or morphological methods (e.g., Voronoi analyses, clustering methods, Minkowski functionals) Very good programming skills (e.g., in Python, C++, or comparable languages
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Cluster of Excellence “Quantum Universe” performs research to understand
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Teaching language English Languages Courses are held in English. Programme duration 6 semesters Beginning Other Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree
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Beginning Winter semester Application deadline All students – online application: 1 March for the following winter semester https://www.lmu.de/psy/de/studium/doctoral-training-program-in-the-learning-sciences
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Cluster of Excellence “Quantum Universe” performs research to understand
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the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description Group: Prof. Tim Liedl , LMU Faculty of Physics
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Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description Group: Prof. Tim Liedl , LMU Faculty of Physics Within this project you will design
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Positions Country Germany Application Deadline 22 Jan 2026 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by
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Proteomics Community, Lipidomics Standards Initiative and participation in corresponding projects Your Profile: Master’s degree in computer science, bio/-cheminformatics or natural sciences Strong programming
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omics. Nat Methods 22, 58–62 (2025). https://doi.org/10.1038/s41592-024-02212-x Crowell, H. L., Dong Y., Billato I. et al. Orchestrating Spatial Transcriptomics Analysis with Bioconductor. bioRxiv