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applications. Our overarching aim is to obtain a holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular-level imaging and deep learning algorithms
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functionality and analyzing integrated safety mechanisms result in high simulation times. To better address these issues, a virtual prototype will be created. This prototype will significantly reduce simulation
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of metastasis, by creating foundation models using routinely collected clinical data, including pathology images, radiology imaging, electronic health records, as well as multi-omics data. This position offers
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The »High-Performance Cutting « department develops technologies and application-oriented solutions for cutting along the entire process chain - from process design and pre-process simulation
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learning, computational mathematics, and probabilistic modeling, with direct applications in medical imaging and beyond. Details can be found in the link below. The position is suitable for disabled persons
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with focus on yeast species, for example of the genus Candida and their potential control. Emerging technologies such as live cell imaging, germ-free animal models and alternative organ-on-chip systems
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units including administration, plant transformation, cytometry/FACS, greenhouses, analytics, imaging, spectromicroscopy, cryoEM and IT support. Required qualifications include an outstanding doctorate in
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, proteomics, and protein production. Background Transcription is a fundamental process that must be precisely regulated for cells to function and for organisms to develop. Pioneer transcription factors (PTFs
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, as part of the development, one position located in Görlitz as Research Associate / PhD student (f/m/x) Integration of CMOS detector technology into the Universal Bayesian Imaging Kit (UBIK) (subject
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-on-a-chip) Perform molecular biology experiments and advanced imaging to support collaborative projects within interdisciplinary teams Prepare and maintain cellular biobanks, reagents, media, and