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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 2 months ago
Developing new fabrication processes for CaF₂, sapphire, and BK glass Collaborating closely with industry partners in areas including lasers, imaging cameras, and display technologies Preparing and supporting
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to biomedical data is a plus Experience in image processing techniques, such as segmentation, is of advantage Ability to quickly grasp new concepts and work independently on complex problems Ability to work as
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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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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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), 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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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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systemic infectious processes, immune responses, and evaluating therapies, refinement measures to reduce stress and improve welfare in experimental animals are underexplored. In this 3RTG, we will address
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Research Centre (CRC) 1450 “inSight – Multiscale imaging of organ-specific inflammation” (https://www.uni-muenster.de/CRC-inSight) The project is based in the research group of Prof. Dr. Kerstin Steinbrink
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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
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three Helmholtz centres, each with complementary expertise in microfluidics technologies, imaging, AI-supported image analysis and innovative reporter systems. The scientist will set up a microfluidics