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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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Kepler University Linz (JKU). Check out the detailed announcement on our homepage: https://www.pro2future.at/phd-candidate-within-the-topic-ai-driven-software-instrumentation/ Where to apply E-mail jobs
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | about 1 month ago
to develop your innovation and entrepreneurship skills at the cutting-edge of AI/ML and biomedical research? If yes, apply now of our 15-20 fully funded PhD positions here: https://apply.cemm.at/ Supported by
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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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are taught in English.For detailed information on the individual projects and their specific requirements, please visit our website: https://oc10.meduniwien.ac.at/open-phd-positions.Closing date: 30.11.2025
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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
cycles. You will contribute to the design, construction, and operation of an upscaled SMTES prototype (20-foot container scale) to investigate realistic thermal behavior, temperature stratification, and
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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
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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