138 structures "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at Leibniz in Germany
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at: https://www.isas.de/en/datenschutz . The closing date for applications is April 18, 2026. Please apply via our applicant portal . If you have any questions (reference number 393_2026), feel free
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– Kellnerweg 4 – 37077 Göttingen. For questions about the position, please contact Dr. Claudia Fichtel (claudia.fichtel(at)gwdg.de ). For further information please contact phone: +49 (0)551-3851-105 or see http
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. An existing team with expertise and drive to move forward synthetic biology in cancer immunotherapy. A well-structured on-boarding process and clear responsibilities. A highly professional and supportive
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, in order to understand the relationship between chemical composition, electronic structure and functional properties of studied compounds. YOUR PROFILE: We are looking for a highly motivated person (f
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disciplines. We work on semantically structured data and interfaces, shared workflows, and contribute to engaging the growing ELM community in digitalized research. To coordinate and support the digitalization
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for mobile working Modern equipped offices, social rooms, company health promotion, parent-child room, etc. for a pleasant working environment (details on our social benefits at https://www.lifbi.de/Career
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Experience with building, maintaining, and connecting databases, data exchange formats and structures (PostgreSQL, XML, JSON) Knowledge of APIs and corresponding specifications (OpenAPI) Knowledge of data
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The Bernhard Nocht Institute for Tropical Medicine (BNITM, https://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany with approximately 420 employees. It is the
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facilities and state-of-the-art infrastructure to study the chemical diversity, biochemical interactions and biological functions of small natural product molecules in and from plants and fungi (https
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using graph-structured prior knowledge Analyze food-related (multi-)omics data Your Profile The ideal applicant has a strong background in bioinformatics and/or probabilistic machine learning, as