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diffusion MRI methods that are suitable for clinical imaging. The post holder will be expected to take an independent and proactive role in managing the research process, maintaining and setting up
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Electrical Engineering, Biomedical Engineering, Chemical Engineering, Optical Sciences or related field At least three publications in biomedical imaging, advanced signal processing, and/or nanotechnology
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collection, image processing, and statistical analysis. Understanding of developmental neuroscience or clinical neuroimaging contexts (e.g., perinatal brain injury, congenital or preterm cohorts). Ability
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and Prevention 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
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engineering, computer engineering and applied physics, with a solid academic background in biomedical imaging and AI and an excellent research track record. Candidates should demonstrate a strong academic track
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two-photon imaging systems, and working on a research project funded by the Wellcome Trust to investigate fronto-sensory feedback microcircuits in the brain and their relevance to behavioural
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or scripting in Python, R, or bash/zsh on Linux/HPC environments. Experience working with clinical research data, including neuroimaging and clinical data collection, image processing, and statistical analysis
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tasks, such as object detection. Contributes to evidence-based processes and procedures for program quality review and assessment of outcomes data. • Build software packages for prototype systems. Minimum
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myeloma, as well as to understanding immune aging processes, through comprehensive functional, phenotypic, and genetic analyses of large, dedicated patient biobanks. To elevate our research to the next
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English