40 machine-learning-"https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" PhD positions at Leibniz in Germany
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At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13 TV-L, part
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. or Diploma in bioinformatics or a comparable qualification Extensive programming experience Practical experience in machine learning and the application of large language models Knowledge of OMICS and image
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your online-application as one single pdf-file (http://www.ipk-gatersleben.de/en/job-offers/) by 25.05.2026. If you have questions or require more information, please contact Kerstin Schweigert (jobs
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with disabilities. Qualified applicants with a disability will be given preference. Your application: We are looking forward to receiving your online-application (http://www.ipk-gatersleben.de/en/job
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accordance with European and German legal regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date
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at: https://www.isas.de/en/datenschutz . The closing date for applications is May 16, 2026. Please apply via our applicant portal . If you have any questions (reference number 396_2026), feel free to contact
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at: https://www.isas.de/en/datenschutz . The closing date for applications is May 16, 2026. Please apply via our applicant portal . If you have any questions (reference number 397_2026), feel free to contact
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The analysis of generated data and communication within an interdisciplinary team made up of people working in natural, life and computer sciences as well as medicine Presenting the research outcome in lab
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plate array microscope for simultaneous time-lapse video microscopy, enabling high-throughput single-cell analyses of rapidly migrating cells. You will be responsible for Develop new machine learning
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yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in