93 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab"-"IFM" positions at Nature Careers in Germany
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Demonstrated creativity, independence, and scientific excellence Experience working with large-scale data, modeling, or AI/ML methods is an advantage If you fulfill all the requirements, you may be eligible
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(to be sent in electronic form only) must include: a tabular CV with information on the scientific career a list of publications and third-party funding a list of any teaching experience and/or teaching
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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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basis) and directly by the specialist department in which you could work in the future. More information about our application process Please send your application only via our online application tool 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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the research profiles on our website to identify the groups and the area in which you want to conduct research. Further information and eligibility criteria can be found at www.dkfz.de
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future. More information about our application process Please send your application only via our online application tool and with the following documents: Cover letter CV References from recent employers
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. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. The Schlatt
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of sintered structures Structured storage of research data in the electronic laboratory notebook Preparation of publications, participation in conferences Supervision of students Your qualifications
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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