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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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and tumor tissue) to determine their immune cell infiltration profiles 3D imaging analyses using fluorescence microscopy techniques (e.g., confocal laser scanning microscopy, light-sheet fluorescence
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sensing of atoms in the MLT. The lidar will be used for the first dedicated search for atomic species that are so far undetected in the interface of atmosphere and space. Modern image analysis tools shall
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. or Diploma in bioinformatics or a comparable qualification Extensive programming experience Practical experience in machine learning and the application of large language models Knowledge of OMICS and image
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degree in a natural science field (e.g., biology, chemistry, physics) or a comparable qualification (e.g., pharmacy, food technology) Experience in a laboratory setting, ideally in bioanalytics, imaging
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science field (e.g., biology, chemistry, physics) or a comparable qualification (e.g., pharmacy, food technology) Experience in a laboratory setting, ideally in bioanalytics, imaging, or immunology
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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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host chromatin pathways (DFG Research Unit DEEP-DV, FOR5200). The group uses experimental infection systems, an array of high-throughput sequencing methods, and single-molecule live-cell imaging
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Job Advertisement 2026-03 At the Leibniz Institute of Atmospheric Physics (IAP), a part-time position (75%) in the Department “Modelling of Atmospheric Processes” is available as PhD student
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research to advance the understanding of vertical coupling processes between the lower and upper atmosphere as part of our team. The role involves investigating how dynamical and chemical processes in