125 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in Germany
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Proteomics workflow. For more information: group.szbk.u-szeged.hu/sysbiol/horvath-peter-lab-index.html Your tasks Building large scale foundation models Applying and further developing single cell segmentation
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, CSF) or advanced proteomics workflows (e.g. spatial proteomics) Fluent with proteomics data analysis tools and data management, programing skills in R’ or Python highly desirable Service-oriented
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basic cell biology, e.g. CRC1450, TRR332 and SFB1348. RESPONSIBILITIES: Experimental investigations including cell biological, immunological, biochemical and microscopy methods Documentation of data and
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analyzers, spatial/imaging coming in now) Consult users in experimental design and data interpretation Train users for independent equipment and software usage Liaise with external customers and service
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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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and medical image analysis. The interdisciplinary and collaborative research environment at the DKFZ also results in excellent opportunities for computational and data scientists with interest in
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backgrounds are ex-pressly encouraged to apply. Female applicants with equal qualifications and suitability will be given preferential consideration. Further information on our equal opportunities measures and
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strategies in accordance with ISO 19880-9 Independent performance of experiments with gas measurement technology and data collection and analysis using Origin, KNIME, and/or Python Writing project reports in
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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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machine learning, AI, and computational data analysis Solid understanding of biological and biomedical concepts, particularly in genomics, transcriptomics, or single-cell technologies Proven experience