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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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to 80% of host cell hemoglobin during its intraerythrocytic development. This process depends on endocytosis at cytostomes – specialized invaginations of the parasite surface – followed by trafficking
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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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to research this topic. Interest in laboratory work and basic technical understanding. Fluent written and spoken English. Programming skills in e.g. Python, R, Matlab and Java. Experience in image processing
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of agroecological and digital innovations (ADIs) integrated into new Rural Community Business Models (RCBM). The research will support the development of a multi-level Decision Support Tool (BUS-DST) by refining and
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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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training that prepares young scientists for a successful career in infectious disease research. The LIV technology platforms offer state-of-the-art infrastructure for flow cytometry, microscopy and image
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socially equitable regional development. Within the region around Heide, Rendsburg, Neumünster, and Kiel, one of the most ambitious transformation projects in Europe for the processing of renewable energies
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in the project, including experts in genetics, genomics, rhizosphere biology, and shoot biology to use a whole-plant-systems approach. Your tasks: Root anatomical phenotyping using imaging and
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