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, quantitative image analysis) Computational skills in data processing and statistical analysis; experience with sc/snRNA-seq, NGS, metabolomics, proteomics datasets (R/Python) is highly desirable Demonstrated
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 3 months ago
offered a position later. Additional comments Application Process All applications must be submitted via the online portal no later than 30 November 2025: https://oc10.meduniwien.ac.at/open-phd-positions
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 3 months ago
visualization of anatomical, cellular, and molecular structures and processes. The central task of the professor to be appointed is to further develop veterinary diagnostic imaging in research, teaching, and
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | about 2 months ago
production of chemical tools for biology and diagnostics. We are now expanding the biological side of the project and are looking for a technician enthusiastic about cell biology, imaging, and molecular
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knowledge of digital image processing, are helpful Basic knowledge fpr application of artificial intelligence and machine learning methods Creativity and ability to work independently in a scientific
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, and analysis of morphometric experiments using immunofluorescence, high-resolution confocal microscopy including super-resolution and 3D reconstruction Quantitative image evaluation and morphometric
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on the development of AI-supported and human-in-the-loop methods for automating and optimizing software instrumentation processes. Drawing on a strong background in software engineering, data analytics, and machine
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models for pipeline improvements: https://doi.org/10.1016/j.xcrm.2025.102304 Multi-omics analysis including high-throughput data from image-based drug screens Engagement in an existing skilled technical
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pediatric AML Development of advanced computer vision models for pipeline improvements: https://doi.org/10.1016/j.xcrm.2025.102304 Multi-omics analysis including high-throughput data from image-based drug
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computing. These include computer graphics and geometry processing, computer vision and image processing, visualization and visual analytics, augmented and virtual reality, machine learning and deep learning