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familiar with data analysis using programming languages like R, and/or Python. You have excellent communication skills and a willingness to collaborate across disciplines. You fit to us: if you have strong
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month’s salary. All information about the TVöD-Bund collective agreement can be found on the BMI website (pay scale table on page 66 of the PDF download): https://go.fzj.de/bmi.tvoed PERSPECTIVE
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) mixtures under various atmospheric conditions in the large atmospheric oxidation chamber SAPHIR Conduct airborne aerosol measurements onboard a Zeppelin airship Apply advanced data analysis methods
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 hours ago
meaningful insights. Develop pipelines for isoform-resolved analysis of short- and long-read single-cell RNA-seq data. Integrate multimodal datasets across developmental stages, tissues, and disease states
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which everyone can realize their potential is important to us. The following links provide further information on diversity and equal opportunities: https://go.fzj.de/equality and and on the targeted
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Develop solutions to integrate large foundation models
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detection to push XPCS toward atomic resolution Design, refine, and execute experimental strategies at the MID instrument for event-based XPCS Implement and advance correlation analysis methods for XPCS data
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, data analysis, or modeling is an advantage Very good written and spoken English, German is an advantage Willingness to work in an interdisciplinary manner in an international research team Independent
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
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October 2026 (earlier starts are possible if desired). Applications can only be submitted via our online system. For online application and further information go to: https://www.uni-muenster.de/CiM-IMPRS