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artificial intelligence and machine learning across several domains of physics and astronomy. The successful candidates will develop an integrated image-processing pipeline and apply it to three
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artificial intelligence and machine learning across several domains of physics and astronomy. The successful candidates will develop an integrated image-processing pipeline and apply it to three
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propagation and bioheat-transfer modeling . Experience automating image-processing or simulation workflows using Python, MATLAB, C++, or similar programming languages. Experience with DICOM data, medical
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element library FeNiCS, cardiac finite element modeling, medical image processing, and machine learning. The candidate is expected to possess excellent communication and written skills. Additionally
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rigorously. Develop, implement, and optimize signal and image processing algorithms using appropriate programming environments and computational tools. Contribute to the definition of system
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protocol development and optimization. Applies quantitative imaging techniques, image processing methods, and statistical analysis to support translational and clinical research initiatives. Develops
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" states minimizing the THz image distortion. Overall aim: of our project is to achieve intelligent single-pixel-based THz imaging with image resolutions <20 µm (~λ/15) using spatially configurable patterned
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" states minimizing the THz image distortion. Overall aim: of our project is to achieve intelligent single-pixel-based THz imaging with image resolutions <20 µm (~λ/15) using spatially configurable patterned
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: Preclinical MRI MRI pulse sequence development and optimization Quantitative MRI analysis Image reconstruction and image processing using Bruker Paravision Micro-CT, optical imaging, photoacoustic imaging, PET
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Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis, write-up of the results, as well as training of students Apply image analysis skills on clinical and research MRI