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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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grade 13. Applications from persons with disabilities and those with equivalent status are welcome. Please indicate any disability in your application, if applicable. We highly appreciate diversity and
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how plant P sensing and signalling influence mycorrhizal colonization and responses. Assess the relative importance of root traits, mycorrhizae, and rhizosphere processes for P efficiency under water
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, biosciences or a related subject area sound knowledge in the fields of plant stress signaling experience in cloning and plant biology knowledge in the role of temperature signaling in biology experience in
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highly motivated PhD student to join a DFG-funded international project that investigates plant - microbiome interactions through large-scale metabolomics and other - omics platforms. Your tasks: Process
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Association. At the Leibniz Institute on Aging – Fritz Lipmann Institute (FLI), we investigate the fundamental biological processes that drive aging. Our research combines molecular, cellular, and systems-level
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. The Department Cellular Neuroscience of Prof. Dr. Stefan Remy in association with the Research
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of traits such as visual anther extrusion, heading date, plant height, and grain yield. You process genotypic data, ensure its alignment with phenotypic data, and conduct association analyses to identify
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is available immediately, a later starting point is also possible. YOUR TASKS Perform molecular biology techniques, specifically molecular cloning techniques (e.g., Gibson assembly, restriction enzyme
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, geoinformatics, Data Science (Natural Language Processing), computational linguistics, taxonomy (especially entomology), or ecology with strong data skills Experience with text mining of scientific and historical