40 machine-learning "https:" "https:" "https:" "BCBL Basque Center on Cognition, Brain and Language" 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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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
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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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applicant has a strong background in bioinformatics and/or probabilistic machine learning, as well as experience in omics data analysis, and possesses solid English-language skills. Experience with