153 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Nature Careers in Germany
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-performance climate computing and data facility. Our expectations: outstanding scientific credentials and relevant research activities in high-performance computing, machine learning, or AI significant
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of image processing e.g. using machine learning German skills For further questions, contact Dr. lmke Greving (imke.greving@hereon.de). We offer you an exciting and varied job in a research centre with
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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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analysis in cleared tissues Working knowledge of image analysis and automation is welcome Examples: Fiji ImageJ, Python for batch processing, napari, basic ML or deep learning toolchains Advantageous but not
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-standing reputation for pioneering machine learning and AI methods in molecular biology, in particular on single-cell genomics. Your tasks Coordinate the international open-source developer scverse community
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and automation is welcome Examples: Fiji ImageJ, Python for batch processing, napari, basic ML or deep learning toolchains Advantageous but not required: FELASA B and experience coordinating animal
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protocols to characterize both cellular and vascular properties of the TME. The approach will be validated using a combination of in silico models, computer simulations, and in vitro experiments using tumor
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an advantage Extensive knowledge and experience in digital signal processing Know-how of and experience with using machine learning methods for measurement data processing and evaluation is an
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doctorate Carrying out measurements on ceramic composite materials using laboratory X-ray sources and synchrotron radiation sources: spatially resolved X-ray refraction, computer tomography, and X-ray/neutron
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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