184 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" positions at Nature Careers in Germany
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Cell Biol 160, 223–251 (2023). https://doi.org/10.1007/s00418-023-02209-1 Virshup, I., Bredikhin, D., Heumos, L. et al. The scverse project provides a computational ecosystem for single-cell omics data
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, achievements and experience in acquiring and managing third-party funded projects, outline of proposed future research activities, copies of certificates and documents, any further information on key positions
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(https://www.physik.fu-berlin.de/en/forschung/dahlem-center-for-complex-quantum-systems/index.html ). The research focus of the Dahlem Center is quantum theoretical solid state physics in its entire range
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regeneration. We combine these approaches to bridge the gap between fundamental research and clinical therapies. More information about our research group can be found here: https://tud.link/vprn . TUD strives
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allowance. The employment will initially be limited to three years. Important: Applicants must not have resided in Germany for more than 12 months in the past three years. Group website: https://biophys.uni
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submitted as a PDF attachment to the application. Further information can be found at Recognition of Degrees and Achievements . For information on fair mobility, click here: https://www.fair-labour
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using relevant assessment methods, which serve as a guide for further research. The results from material development are compiled together with the environmental performance data obtained in material
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will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis .
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Mechanobiology, Stem Cell and Bone Marrow Niche Biology, or a related field Professional experience in cell mechanics research Professional experience with confocal microscopy and data visualization Professional
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, Molecular Medicine or a related discipline a high interest in immunological research questions profound experience with Drosophila work experience with large biological datasets and omics data, ideally (scRNA