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Field
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lengthy processing times associated with sequencing. This PhD project aims to develop innovative artificial intelligence (AI) methodologies by integrating histopathology images and RNA sequencing data
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through a self-learning chip prototype, improving performance and durability in automotive applications. Specifically, this PhD project focuses on memristive materials as electronic realizations
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(analysis/ geometry), applieddifferential geometry and machine learning;•Solid publication record in image analysis, scientific computing or machine learning.•Knowledge and practical experience in at least 3
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intelligence-based automated interpretation of medical images, and new knowledge on the human visual system into the screening mammography reading process. Combining these new capabilities and new knowledge has
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of human IPSC-derived neurons and glia cells. This will be complemented by genetic, proteomic and imaging techniques and subsequent data analyses. As such, we are looking for a candidate with an interest and
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for efficient imaging of biological objects at molecular resolution. Job description Femto-Cryo project is a Topconsortium voor Kennis and Innovatie (TKI) project in a public-private partnership (PPP) scheme in
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than the actual DNA damage itself. In this project we will use innovative single molecule imaging procedures in combination with CRISPR-Cas9-mediated gene editing to for the first-time study the effect
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including strain field measurement techniques such as Digital Image Correlation (DIC). Interest in sustainable manufacturing, digital twins, and circular economy solutions. Self-driven, structured, and
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The Department of Medical Imaging is one of the most active research departments of the Radboudumc. More than 100 researchers are continuously striving to optimize healthcare. Close cooperation
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chip prototype, improving performance and durability in automotive applications. Specifically, this PhD project focuses on memristive materials as electronic realizations of the hysteron concept