35 phd-scholarship-for-solid-mehanical-engineering-in-image-processing Postdoctoral positions in Hong Kong
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funding availability and satisfactory performance. Applicants should possess a Ph.D. degree with a specialisation in Psychology and Computational Modelling/advanced neuroimaging data processing skills/big
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. They should have solid knowledge of chemistry and biology, and an excellent command of spoken and written English and Chinese. Experience in bioinformatic data analysis including microbiome, virome and
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Computational Modelling/advanced neuroimaging data processing skills/big data processing techniques. They should have a strong interest in experimental research and demonstrated scientific expertise and excellent
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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
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Department. Requirements 1. A PhD degree or equivalent qualification, preferably with at least 2 years of relevant postdoctoral research experience; 2. A strong background in Mathematics/Applied
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bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing
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data, including data from electronic health records, medical images, and sensor data from wearable devices Responsible for writing up results, training and supervising students and junior staff
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the design, implementation, and testing of statistical and AI software for analysing large healthcare-related data, including data from electronic health records, medical images, and sensor data from wearable
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renewal subject to satisfactory performance). Applicants should possess a PhD in Social Sciences, Social Work, Psychology, Statistics or related disciplines (those with a Master’s degree plus at least 1
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. Applicants should possess a PhD degree in Biomedical Sciences, Biochemistry, Chemistry or a related discipline. They should have strong background and research experience in at least one of the following areas