51 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" positions at Nature Careers in Germany
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machine learning, AI, and computational data analysis Solid understanding of biological and biomedical concepts, particularly in genomics, transcriptomics, or single-cell technologies Proven experience
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Doctoral and Postdoctoral Researcher Positions in the Cluster of Excellence “Balance of the Microver
microbiome stability, resilience, and tipping points, using model systems and clinical data to uncover what drives changes from health to disease Our Microverse Mission: We integrate insights across ecological
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, including quality control, maintenance and troubleshooting on an Aria Fusion cell sorter Sample preparation, cell sorting and data analysis Generation of single cell libraries with 10X Genomics, Singleron and
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technical expertise, coordinate collaborative workflows, and contribute to data analysis and project development. The position is to be filled by 01.03.2026 or 01.04.2026. Your tasks You will work with lung
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will be preferentially considered when equally qualified. Further information about FAIR and GSI is available at www.gsi.de and www.fair-center.eu. If you find this position interesting and challenging
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we are active and recognized in numerous initiatives and networks. The Institute of Computational Biology (ICB) is globally recognised for innovations in data analysis and modelling of biological
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as well as in the rapidly growing fields of Digital Ocean Twins and multiuse of resources. Your tasks We are looking for a motivated and eager-to-learn new colleague with good programming or data
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professional achievements (max. 2 pages), and 2 reference names we may contact. Please refrain from sending a photo. For further information about the job, please contact Allan Koch, phone +49 (0)531 6181-1007
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fields of Digital Ocean Twins and multiuse of resources. Your tasks We are looking for a motivated and eager-to-learn new colleague with good programming or data science skills. The applicant will use
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to) For AI in Biomedicine: Representation learning for complex biomedical data Large language models for patient records and multi-omics Generative AI for therapeutic and molecular design Fair, robust and