74 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" "UCL" PhD scholarships at Nature Careers
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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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at the University of Vienna. In particular, we offer a position for a university assistant (pre doc) in the Group of Univ.-Prof. Dr. Thomas Hummel at the Department of Neuroscience and Developmental Biology. Our
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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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, publishing results, and assisting in workshops. For more information, feel free to contact Dr. Jörg Baller (). Your profile MSc in Physics, Engineering or Chemistry Familiarity with areas such as design-of
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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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learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another
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Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains