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Field
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investigate the feasibility of new imaging modalities for situations where currently employed imaging techniques, such as X-ray transmission and backscatter, have limitations. This project will focus
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Project Link: PhD Studentship in Artificial Intelligence in Medical Imaging and Diagnostics | Project Opportunities | PhD | University of Leeds Eligibility: UK/International Funding: School of
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The section of Radiology at the Department of Surgical Sciences, Uppsala University, is organized in several research groups that conduct research within the development and application of imaging
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function and its role in healthy development and disease. There is no brain-imaging method that allows us to measure infant brain activity with high resolution in both spatial and temporal dimensions
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to identify and visualize long-term patterns in blood glucose among people with insulin-treated type 2 diabetes. Moreover, the PhD fellow will include development and testing of a prototype user interface in
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to address missingness in mass spectrometry imaging (MSI) of brain tissue. The missingness can happen along two dimensions: spatial (super resolution) and feature (data imputation). Enhancing the quality
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these challenges. Similarly, peer-led workshops challenging appearance culture can enhance body image in teenagers and students. The current project partners with the charity Reach to track young adults with ULD as
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We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only
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sensors to understand their local surroundings at sea and inform optimal action. To ensure safety requires the ability to reliably detect, image and recognise their environment, in terms of surrounding sea
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for Spectroscopic and Acoustic Imaging (https://www.photoacoustics.lu.se/ ). The doctoral student will gain knowledge in optical measurement methods, medical image processing, development of computational models, and