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of Sciences is looking for a full-time (100%) doctoral scholarship holder in the field of medical image processing and analysis using deep learning. This position is part of the ERC Consolidator project “A data
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in the field of medical image processing and analysis using deep learning. This position is part of the ERC Consolidator project “A data-driven approach to microstructure imaging” (ADAMI), funded by
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project that combines insights from physics/engineering (imaging and image processing of MRI and light-sheet microscopy), biological and medical sciences (tissue microstructure, immunostaining, and
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intelligence) to achieve a breakthrough in microstructure imaging with MRI. Position You will focus on the acquisition, processing, curation, and modeling of quantitative MRI data of healthy human brains and
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intelligence) to achieve a breakthrough in microstructure imaging with MRI. You will focus on the acquisition, processing, curation, and modeling of quantitative MRI data of healthy mice and mice models
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-driven approach to microstructure imaging” (ADAMI), funded by the European Union. ADAMI is a highly interdisciplinary project that combines insights from physics/engineering (imaging and image processing
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. ADAMI is a highly interdisciplinary project that combines insights from physics/engineering (imaging and image processing of MRI and light-sheet microscopy), biological and medical sciences (tissue
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Previous experience in programming in R, Python or similar. Previous experience in advanced statistics, e.g. generalized linear mixed models, and/or big data processing. Personal characteristics In
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Personal characteristics In the doctoral candidate selection process, emphasis will be placed on personal and interpersonal qualities. Important elements to be considered are: Be scientifically curious and
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minded Experience in confocal microscopy applications is required Experience in image processing and analysis is required Team player with strong social, communication and didactic skills Well-organized