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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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Pathogens, a WHO Collaborating Centre, and a member of the Leibniz Research Association. The Computational Infection Biology Department, led by Thomas Otto, is seeking a highly motivated PhD Student (in data
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area D, Open Research Knowledge Graph, is seeking a PhD Candidate / Software Developer for Aerospace Knowledge Base (m/f/d
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qualification (e.g., pharmacy, food technology) Experience in a laboratory setting, ideally in bioanalytics, imaging, or immunology Practical knowledge of mass spectrometry and/or microscopy A willingness to
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of dust in the Earth system. The central research focus of the future post holder will be the further development of the dust module in the global aerosol-atmosphere model ICON-HAM, as
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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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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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molecular cell identification and single-/two-photon imaging techniques. You will work at the Leibniz Institute for Neurobiology (LIN) with Prof. Stefan Remy and in close cooperation with Dr. Janelle Pakan