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Field
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Chair of Biological Imaging 02.02.2026, Academic staff We now seek a highly qualified and motivated PhD student (f/m/x) to drive the development of a novel quantum enhanced microscope. The Institute
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candidate will facilitate code collaboration within the Modelling of Atmospheric Processes (MOD) department and, in particular, manage IAP code contributions to the upper atmosphere components of the ICON
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of Medical Image Computing (MIC) is a leading research group pioneering advancements in machine learning and information processing to improve cancer patient care through systematic image data analytics
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the excellence cluster Your profile PhD in physics or in a related discipline experience in phase contrast or coherent X-ray imaging advanced programming skills in a high-level computer language (Python or related
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imaging. Your Profile: * Master's degree in Computer Science, Electrical and Computer Engineering, Mathematics, Physics, or a related field * Strong background in mathematical and computational sciences
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learn microinterventions, such as taking blood samples from specific vessels of mice. Experience and FELASA-B certificates are an advantage. MS Office skills; experience with image processing software is
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tomography In-depth experience and knowledge in digital image processing and analysis Experience in the design and implementation of experimental setups and instrumentation, in particular in-situ computed
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will apply cutting-edge imaging technologies such as volumetric EM, cryo-ET and state-of-the-art image segmentation to study changes in the cellular architecture of diverse fungal pathogens during
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imaging systems and ensure the optimal deployment and networking of sensors to efficiently process and analyze the resulting data streams. In this way, we support people in decision-making, process
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evaluation routine for area detection of microscope images of salt solutions during solidification Linking the time curves of the automated area evaluation and simultaneously recorded heat flow signals of a