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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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approach integrates gene editing in human and murine primary hematopoietic and iPSC-derived stem cells, in vivo zebrafish and mouse models, multi-omics analyses (e.g., RNA-seq, ATAC-seq, scRNA-seq, scDNA-seq
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large multi-dimensional datasets using statistical tools such as positive matrix factorization (PMF) and cluster analysis Investigate the influence of different urban emission sectors on atmospheric
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resources. We offer an international and multi-disciplinary environment with strong expertise in the proposed research fields. The group consists of approximately 17 members at different levels of seniority
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Job Advertisement Leibniz-HKI-36/2025 In a joint, multi-disciplinary approach, the Friedrich Schiller University of Jena together with the Leibniz Institute for Natural Product Research and
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environment We seek a highly motivated and talented postdoctoral fellow (m/f/d) to conduct cutting-edge, multi-omic and translational research in the field of inflammatory skin diseases. The successful
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doctoral degree in biotechnology, biochemistry, microbiology or related fields, with practical experience in protein engineering. The candidate will be part of an international, multi-disciplinary team in
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this research project, state-of-the-art techniques will be employed including multi-spectral imaging, methylome analyses, RNA-Seq at single-cell and bulk levels, cell culture as well as bioinformatics analyses
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. , Virshup, I., et al. SpatialData: an open and universal data framework for spatial omics. Nature Methods (2024) Velten, Britta, et al. Identifying temporal and spatial patterns of variation from multi-modal
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to your scientific expertise to work within the German Research Foundation (DFG) funded project “Multi-channel transcranial current stimulation (mc-tCS): a novel approach to modulate smooth pursuit eye