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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo
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thermal camera data as well as visual cameras and lidars. Expanding beyond our previous leading work on odometry, SLAM, and semantic segmentation using 2D and 4D radar data, with this project we wish
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visibility, in particular mining and construction environments that are characterised by heavy dust, smoke, and fog. Sensing modalities to be used include 4D radar and thermal camera data as well as visual
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of formulating them, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment
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within the University of Münster developing imaging methods allowing to visualize molecular processes inside organisms, tissues and cells. With the help of imaging, we perform cutting-edge research in
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, immunostaining and various aspects of zebrafish genetics. In addition, the scholarship holder will manage with advanced microscopy to visualize muscle cell architecture and dynamics and engage in data analysis