33 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" "UCL" PhD positions at Nature Careers in Germany
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in vitro work, including work with primary cells isolated from human bone and bone marrow, and characterize these primary cells using various cell biology and molecular biology methods Establish data
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scientists and, therefore, especially encourages them to apply. Contact details Prof. Dr. Gianni Panagiotou | +49 3641 532-1759 Applications Leibniz-HKI is proud to be an equal opportunity employer and
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communication and information behaviour, initiative/commitment and ability to make decisions, ability to work in a team and willingness to cooperate, as well as conceptual, strategic and innovative thinking
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such as sports programs, job ticket, company events, cafeteria, and emergency childcare For inquiries, please contact: Univ.-Prof. Dr. Markus Missler, T +49 251 83 50200, Markus.Missler@uni-muenster.de
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beneficial, but is not required. If you would like to know more about the project, please get in touch with Dr. Bastian Krenz (bastian.krenz@uni-wuerzburg.de). Please send your application (CV, letter of
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emergency childcare For inquiries, please contact: Prof. Dr. rer. nat. Timo Strünker T 0251 83-58238 Apply now via our career portal by February 18, 2026. Applications of women are specifically invited. In
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scientists and, therefore, especially encourages them to apply. Contact details Prof. Dr. Gianni Panagiotou | +49 3641 532-1759 Applications Leibniz-HKI is proud to be an equal opportunity employer and
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collect and analyse health data, identify risks, advise government and experts, and develop new scientific methods. We are based in Berlin, Wildau and Wernigerode. Get started now Apply directly through the
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, CRISPR-Cas systems, microRNAs, non-coding RNA, RNA biology of infections, and RNA chemistry. Applicants can choose a mentor who best matches their interests and background (more information under “Panel
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research group “Machine Learning for Biomedical Data” led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles of Reproduction. The CRC 1748 involves