Development of high-throughput light-sheet microscope integrated computer vision and deep learning PhD Positions: We are developing versatile high-throughput imaging systems for personalized medicine research,and looking for passionate PhD students to join our team. The project integrates state-of-the-art light sheet microscopy, computer vision, and deep learning image restoration. The project will be conducted in the Digital Health Center, Berlin Institute of Health (Charité Universitätsmedizin) under the supervision of Dr. Christian Conrad and Prof. Dr. Roland Eils. Our lab provides a highly multidisciplinary research environment and unique expertise across computational biology, transcriptomics, computer vision, deep learning, and advanced microscopy. The PhD candidates have the opportunity to work in (I) designing and constructing light-sheet microscopes, (II) software interfacing for instrument control, (III) imaging and restoration by machine learning. Prerequisites: Knowledge in optics/microscopy, programming (Labview, Python, C++, Matlab etc.) are preferred; Interests in system biology of human diseases. For more details about the project, please send your application to Dr. Christian Conrad [email protected] --

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