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experience in quantitative methods. Demonstrated experience in data analysis and statistical programming, preferably with multi-omics data. Strong background in statistics and epidemiology, and willingness
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community-based research. For more information . This position is intended for a scholar whose research aligns with the CBCW’s focus on biological, cultural, and epistemic diversity. The postdoctoral scholar
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about applying deep learning to decode the regulatory grammar of plant genomes and translating predictions into testable biological hypotheses, we invite you to join the Omics Data Analysis and
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deep-learning framework; experience in building efficient and reusable software is a plus Solid background in machine learning Experience with the analysis of high-throughput sequencing data (single-cell
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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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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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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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11.04.2025, Academic staff The research group Cyber-Physical Systems of Prof. Matthias Althoff at the Technical University of Munich offers a PhD/Postdoc position in the area of automatic formal
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Hamburg, ESRF in Grenoble and others) analysis of the experimental data, ideally connecting to our machine learning tools presentation of scientific results on conferences and in publications supervision