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imaging and spatial omics instruments. Work closely with users to understand image/data acquisition pipelines and inform computational processing accordingly. Support users in experimental design
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(preparation and staining (IF, IHC), confocal and fluorescence microscopy, analysis and evaluation) Experience with quantitative analysis of imaging or physiological data (e.g., microscopy, cardiac imaging
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. Responsibilities include: Designing and executing behavioral learning paradigms with social and non-social reinforcement In vivo calcium imaging during learning and sleep Quantitative analysis of neural activity
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candidate will join an exciting research program exploring a newly emerging paradigm in immunology: mitochondrial transfer and synthetic organelle therapy. Using newly developed genetically engineered mouse
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., food processing, bioconversion and fermentation processes) Self-supervised learning for multimodal sensor data (e.g., spectroscopy, hyperspectral imaging, 3D point clouds, and other high-dimensional data
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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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world with increasing digitalization and medical needs. Our research integrates materials chemistry, biological processes, physical analysis, process engineering and data science. We collaborate with