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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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Job related to staff position within a Research Infrastructure? No Offer Description Image sensors have been used widely in our daily life. In this project, we will develop a low-power image sensor
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Phd Position for Low-power broad-spectrum image sensor with local smart data processing. Image sensors have been used widely in our daily life. In this project, we will develop a low-power image
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A funded PhD position is available to develop novel imaging techniques for wound monitoring including algorithms for image processing and prediction. The PhD student will become part of a large
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 1 day ago
the approaches (i) and (ii) regarding the prediction of tumour control # Calibrate radiomics software for improved processing of PET imaging # Harmonise PET image processing to reduce the impact of measurement
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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. 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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Are you passionate about pushing the frontiers of machine learning, computer vision, and their applications in medical imaging? Join the Computer Vision Group as a PhD student specializing in deep