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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
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your online-application as one single pdf-file (http://www.ipk-gatersleben.de/en/job-offers/) by 25.03.2026. If you have questions or require more information, please contact Kerstin Schweigert (jobs
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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. Further
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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) as a single PDF on our website (https://www.senckenberg.de/de/stellenanzeigen/ ) by 16. April 2026. Senckenberg Gesellschaft für Naturforschung Senckenberganlage 25 60325 Frankfurt a.M. E-Mail
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independence and commitment to work, as well as a structured approach to new issues sufficient knowledge of English to communicate with other group members knowledge of the guidelines for ensuring good
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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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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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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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the subject of your intended project Experience in university teaching Good communication skills and the ability to work well in a team The ability to work independently and in a structured way Language skills