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should have a strong background in quantitative medical imaging and: 1) image processing of the cardiopulmonary system or 2) a strong epidemiological background allowing them to utilize the output of
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., Claude Code) Strong mathematical foundation relevant to quantitative image analysis (optimization, regression, statistics, signal processing, cluster analysis, machine learning) Advanced skills in
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multiaxial mechanical tests on the dual-actuator loading frame, and acquiring and processing full-field deformation data using three-dimensional digital image correlation Develop the numerical platform
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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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, and acquiring and processing full-field deformation data using three-dimensional digital image correlation Develop the numerical platform by building automated finite element and inverse
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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
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. Experience with medical image analysis Experience with time‑series analysis Experience with speech, voice, or acoustic signal processing Experience with scientific software development, version
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Develop event-driven algorithms and software components for autonomous experiment control and adaptive image acquisition Build scalable, maintainable, and open-source software for high-throughput image
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. To be successful in this role you need to have the following qualifications A PhD in Computer Science, Applied Mathematics, Physics, Engineering, Scientific Computing, Image Processing, Data Science
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