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Field
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the patient’s self-management of medications after hospital discharge. Using the innovation method “design thinking” we have developed a prototype for the new intervention, which we have further improved through
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approaches will involve the use of helium-filled soap bubbles as flow tracers, combined with multi-directional imaging and illumination for omni-directional flow measurements. These elements form the basis
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monitoring severe weather events. Radar images, especially those of the PPI (Plan Position Indicator) and SAR (Synthetic Aperture Radar) types, often present significant challenges that compromise
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the data repository and computer servers. Runs existing PET/MR brain image processing pipelines on the computer servers, produces the results, and communicates with the group members. Writes computer codes
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pathomechanisms and developing prototype drug candidates. Project outcomes will be protected as intellectual property and will provide a foundation for translation through clinical studies and appropriate
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picture recognition. Strong background in machine learning, statistical modeling, and big-data analytics. Experience with infrastructure or transportation data or traffic planning (e.g. micro-simulation
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the overarching goals of the POLYCHROME project. The project investigates evolving attitudes to devotional images that have been selectively mutilated since the Reformations, and the influence
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-driven image analysis to reconstruct their growth and reproduction over centennial scales. Support and training will be provided as required, depending on the candidate’s incoming expertise. In
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the aim of developing tools for detecting and imaging lipids. Supported by the Marie Skłodowska-Curie Actions programme, the LipiBRIGHT project aims to train young researchers in lipid biology, new
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specific neuronal types and develop new technologies allowing us to selectively target the unique receptor populations. To achieve this, we are using imaging and molecular techniques to measure receptor