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outstanding candidates to apply for a postdoctoral research position in Geometric Deep Learning, with a strong emphasis on applications to biology and scientific discovery. This unique research collaboration
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protocols for data format and sharing. Dissemination of the research results. Qualifications: Candidates should have a PhD degree in experimental physics, chemistry, materials science or equivalent. The core
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cell populations which may involve targeted validation by working with a collaborator. Bulk tumor samples will include those of fresh-frozen material of pediatric cancer patients and archive FFPE RNA-seq
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. Background in molecular biology, cloning, immunology (multi-color flow cytometry) and animal work (cancer or cardiovascular) are desired. The candidate will receive mentoring to prepare them for future careers
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in basic cellular and immunological methods, including multi-color flow cytometry, ELISA, cell killing assays, experience with analysis of human samples, and extensive experience with mouse cancer
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Job Advertisement HKI-38/2025 The Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI I https://www.leibniz-hki.de/en/ ) investigates the pathobiology of human
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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of research funding Your profile... The candidate should possess a PhD degree in Computer Science, Software Engineering or a related field The ideal candidate should have some knowledge and experience in
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innovation in catalysis, Power-to-X, and nuclear energy solutions. We design and develop new functional materials, contribute to advances in geosciences and life sciences, and we develop and exploit quantum
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Infection Biology (www.leibniz-hki.de I https://www.leibniz-hki.de/en/ ) have launched the SynThera initiative (www.synthera.eu ) funded by the Carl Zeiss Foundation, which aims to design, create, and deploy