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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal
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coefficient, which leads to optical aberrations and image degradation at elevated temperatures. In this AiF/ZIM project, funded within the framework of BMWK 2+2, the aim is to develop Ge crystals with
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expertise, we are creating functional genetic maps using conditional CRISPR/Cas9-based single and higher-order knockout perturbations combined with single-cell expression profiling and imaging. We expect
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/ Multi-Omics Data Integration Candidates with a strong background in bioinformatics, computational biology or epigenomics. Desirable experience includes single-cell and spatial omics analysis (scRNA-seq
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cell handling, differentiation, and organoid formation, while inte-grating automated imaging, quality control, and data analysis. A strong component of the work will be the programming and customization
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, or related 3D stem cell models Proven skills in advanced imaging and quantitative analysis of dynamic processes Interest in interdisciplinary approaches at the interface of biology and physics Excellent
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partner from data sciences provides data management and AI based Image analysis, an internal experimental group, and an internal simulation-sciences group (You+Supervisor+support by lab
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efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes the evaluation