140 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Leibniz
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The Bernhard Nocht Institute for Tropical Medicine (https://www.bnitm.de/en/ ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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learn microinterventions, such as taking blood samples from specific vessels of mice. Experience and FELASA-B certificates are an advantage. MS Office skills; experience with image processing software is
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consequences for essential ecosystem processes. In the framework of the Biodiversity Exploratories (https://www.biodiversity-exploratories.de/en/ ), funded by the German Research Foundation (DFG), the project
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following through the online application system - https://www.leibniz-inm.de/en/job-offers-2/ Motivation letter CV (max 2 pages) Publication list Academic transcripts Contact details of 2-3 references
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skills work together, in order to learn from one another and generate new knowledge and new methods to create a better quality of life in our world. DWI offers you a wide range of possibilities to develop
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The Bernhard Nocht Institute for Tropical Medicine (https://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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skills work together, in order to learn from one another and generate new knowledge and new methods to create a better quality of life in our world. DWI offers you a wide range of possibilities to develop
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/) and part of the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https
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performance criteria. Interested? We look forward to your application! Please upload your CV and motivation letter by February 28th, 2026 via our online application system: https://www.leibniz-inm.de
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and experience or willingness to learn methods, in particular the morphological, chemical, and microbiological characterization of plant samples Very good knowledge of statistical data analysis and data