134 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " positions at Nature Careers in Germany
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research group “Machine Learning for Biomedical Data” led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles of Reproduction. The CRC 1748 involves
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), proteomics (LC-MS/MS), (epi)genomic data processing, multi-omics integration, machine learning approaches for high-dimensional data, confocal / two-photon imaging, tissue clearing and light-sheet microscopy
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skills in data science, advanced AI interface development and machine learning?to apply climate change and other relevant data to real-world problems exchange and coordination with project partners Your
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, ATAC-seq, CUT&RUN, MERFISH, Visium), epigenomic data processing (chromatin accessibility, histone marks, enhancer mapping), multi-omics integration using Seurat, Signac, Harmony, ArchR or Scanpy, machine
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or car free use of Nextbike from the Buch S-Bahn station to the campus subsidy for the job ticket, as well as discounts in the campus canteen on-campus health and fitness center additional health benefits
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, as well as knowledge exchange. Our expectations International experience in teaching and research, a very good command of the English language, and the ability and willingness to teach in English are
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sciences or similar Strong interest in single-cell nucleus RNA-seq techniques / Perturb-Seq / Crop-Seq Willingness to learn computational biology/bioinformatics High motivation for scientific work and
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. Soc. 2025; Bohg et al., Angew. Chem. Int. Ed. 2026). The PhD students will have the opportunity to learn how to produce membrane proteins using cell-free expression and to perform solid-state NMR as
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age. Qualified applicants with physical disabilities will be given preference. Learn more about diversity at Helmholtz Munich Our commitment Helmholtz Munich Deutsches Forschungszentrum für Gesundheit
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variety of perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection, we aim to ensure that all our employees can be themselves and feel a sense of