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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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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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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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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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Job posting (PHY 09/2025) The Leibniz Institute for Baltic Sea Research Warnemünde (IOW) has a temporary vacancy for a PhD candidate in High Resolution Ecosystem Modeling and application
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. Specifically, doctoral students are awarded either a Dr. rer. nat. (“Doctor of Natural Sciences,” e.g., for biostatistics dissertations) or a DrPH (“Doctor of Public Health,” e.g., for implementation science
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in principle. Please send your application preferably online (see button online application below). For e-mail applications, create a PDF document (one PDF file, max. 5 MB; packed PDF documents