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, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. In this project, we will elucidate the molecular mechanisms that enable sperm to sense their chemical and physical environment, with a
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-organization. For more information go to: https://www.bauschlab.org Your Qualification: High motivation, curiosity, and commitment to scientific excellence Master's degree (for PhD) or PhD (for PostDoc) in stem
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PhD in Vascular Biology, Neuroscience, Molecular Biology, Computational Biology, or a related field Expertise in single-cell and spatial omics analysis (scRNA-seq, ATAC-seq, CUT&RUN, MERFISH, Visium
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
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focus on the genetic and epigenetic molecular pathogenesis of pediatric T-cell leukemia (T-ALL). One particular emphasis will be on the multiomic wet- and dry-lab analysis of clonal and subclonal genomic
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development for lidar control. Data evaluation is an essential part of the project work to distinguish between natural variability of the observed metals and aerosols and anthropogenic effects. Your
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excellent methodological and academic writing skills, experience with data management and confidence in data analysis (R, STATA, etc.). While experience in experimental work with human participants is a must
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cell handling, differentiation, and organoid formation, while inte-grating automated imaging, quality control, and data analysis. A strong component of the work will be the programming and customization
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/ Multi-Omics Data Integration Candidates with a strong background in bioinformatics, computational biology or epigenomics. Desirable experience includes single-cell and spatial omics analysis (scRNA-seq
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, including quantitative, qualitative, and experimental approaches. Ideally, experience with Python, Stata, or R. • demonstrates proficiency in data collection, processing, and analysis, preferably using