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, involving expertise in optics, electronics, image and data processing, chemistry, and biology. With the support of several European funding programs, the team is building a data science and machine learning
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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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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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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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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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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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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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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