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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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                university assistant with a doctorate/PhD for the following areas of responsibility Particular research focuses include spatially resolved single-cell technologies (spatial multiplex single-cell multi-omics 
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                located in the heart of Vienna at the Institute of Analytical Chemistry, Faculty of Chemistry, University of Vienna. Besides scientific activities in developing new and improved computational and measuring 
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                the heart of Vienna at the Institute of Analytical Chemistry, Faculty of Chemistry, University of Vienna. Besides scientific activities in developing new and improved computational and measuring methods 
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                research institution at the highest international level and to make a positive contribution to the economy and society. The Center for Innovation Systems & Policy is looking for new Ingenious Partners 
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                at the highest international level and to make a positive contribution to the economy and society. The Center for Innovation Systems & Policy is looking for new Ingenious Partners for our location in Vienna. Our 
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                of science to applied technological research and partnership with industry. Your Tasks, Core Themes Candidates will have the opportunity to pursue one or more of the following core themes: 1. Large Pre-Trained 
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                and society. Our Center for Vision, Automation & Control (VAC) is a team of approximately 140 experts carrying out applied research in image processing, sensor-data fusion, machine learning, data 
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                and society. Our Center for Vision, Automation & Control (VAC) is a team of approximately 140 experts carrying out applied research in image processing, sensor-data fusion, machine learning, data