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of chemoreceptor (CR) genes and other sensor proteins in phytopathogenic bacteria. Biochemical charactherization of CRs and sensor proteins. Functional charactherizations of mutants in the context of plant
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openings available. Internal Number: 362548 Required Qualifications: * Ph.D. or Masters with equivalent experience in Computational Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or
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of Plant Biotechnology and Bioinformatics, Ghent University, Belgium (PhD degree affiliation) KR01 – Department of Environmental Technology, Food Technology, Molecular Biotechnology, Ghent University Global
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The Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI I https://www.leibniz-hki.de/en/# ) investigates the pathobiology of human-pathogenic fungi and identifies
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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of childhood cancer death. You will work on the INSTINCT-MB programme, which brings together teams based at Newcastle University, The Institute of Cancer Research and University College London. The programme
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written and oral presentation of project results. Located on the Grenoble Science Park (ESRF/ILL/EMBL/IBS), the Institute of Structural Biology (IBS) is a national and international player in the field
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fumigation in a forest) and the Hellenic Agricultural Organization Dimitra - Forest Research Institute (Greece) for conducting research on soil microbiome; moreover he/she will second to Ente di gestione per
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work on the INSTINCT-MB programme, which brings together teams based at Newcastle University, The Institute of Cancer Research and University College London. The programme will generate a wide range of
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Job Advertisement HKI-32/2025 The Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI I https://www.leibniz-hki.de/en/#de29c491dc573cbcfa7d21f197d4c790hxnVEVlvLh