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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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variation harnessed in plant breeding. PhD Research Topic: Natural Meiotic Recombination Variation to Accelerate Barley Breeding Objectives: Exploit natural genetic variation in meiotic recombination
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Biospectroscopy for the Bioimaging research group, we invite applications for a: PhD Candidate (m/f/d) This position is part of the Leibniz Science Campus “Cardio-Oncology Campus for Precision Medicine”, with focus
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Bioanalytics for the Proteomics research group, we invite applications for a: PhD Candidate (m/f/d) This position is part of the Leibniz Science Campus “Cardio-Oncology Campus for Precision Medicine”, with focus
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Bioanalytics for the Lipidomics research group, we invite applications for a: PhD Candidate (m/f/d) This position is part of the Leibniz Science Campus “Cardio-Oncology Campus for Precision Medicine”, with focus
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-organized. if you are a team player. We offer you: a world-class infrastructure and international work environment. a 4-year PhD position, starting earliest by 01.07.2026. a gross salary up to 65% E13 TV-L
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cues. We are looking for a curious, self-motivated PhD student to join this research at one of Europe’s leading primate neuroscience institutions. The start date is 1st of May 2026; a later starting
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techniques to investigate mechanisms and outcomes of DNA virus infection. The Department is currently accepting applications for a PhD Student Position (f/m/x) Your tasks: Conduct a research project to
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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux