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disciplines and involve expertise in optics, electronics, image and data processing using machine learning, photophysics, chemistry and biology. The position is therefore particularly well suited for candidates
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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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, 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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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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living cells. The project will involve experimental work with biophysics techniques, such as microscope operation and sample-labeling strategies. Microscopy-based assays and image analysis will be
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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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vision transformer or large vision AI model Expertise in high performance computing Expertise in image and spatiotemporal data processing Expertise in federated learning on large computing clusters A
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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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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