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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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or molecular/cancer/evolutionary biology) At least one first-author paper in a peer-reviewed journal Strong programming skills (e.g. R or python), experience with bash and a solid understanding of statistics
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-reviewed journal Strong programming skills (e.g. R or python), experience with bash and a solid understanding of statistics Experience with next generation sequencing Experience with using pipelines and
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the growing complexity of modern wireless networks. https://www.wwtf.at/funding/programmes/ict/ICT25-005 Where to apply Website https://www.tuwien.at/etit/tc/en/vacancies-internships/ Requirements Research
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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