108 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" uni jobs at Nature Careers in Germany
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. You already have experience in cultural education. You are willing to use data science methods and artificial intelligence for comparison with observational data. You are willing to establish and apply
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application instructions) and to submit your application online, please visit: https://www.mpg.de/lise-meitner-excellence-program The deadline for applications is April 15, 2026. If you are invited to present
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. The successful candidate (f/m/d) is expected to be committed to the university’s strategic goals and to actively shape its holistic development (https://www.tu-braunschweig.de/hochschulentwicklung ). In
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of the following areas: Digital radiology Generative AI for medical imaging Digital patient twin Data-driven therapy decisions and response monitoring Sustainability in healthcare: designing for circularity Medical
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, as well as transcripts and a selection of recent course evaluations online at: https://berufungsportal.uni-frankfurt.de by 27.02.2025. If you have any questions, please contact the Director of
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protection rights, the purpose for which your data 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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research concept [2–3 pages], list of third-party funding, copies of certificates and degrees), preferably in English, online at https://berufungen.fau.de by April 1, 2026, addressed to the Dean
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(CV, list of publications, teaching concept [max. 1 page] and research concept [max. 3 pages], list of third-party funding, copies of certificates and degrees) online at https://berufungen.fau.de by
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protection rights, the purpose for which your data 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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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