72 machine-learning "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions in Hong Kong
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devices for health management applications as part of our Shenzhen-Hong Kong-Macau Science and Technology Plan Project (Category C). Please find the relevant information about the research group at https
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image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed to ample
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). Please find the relevant information about the research group at https://sites.google.com/view/sjwanghkbulab/home Requirements: A PhD degree related to organic electronics or other closely related fields
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intelligence (AI)-assisted image analysis for bioinformatics and medicine. The project is highly interdisciplinary, involving areas of microfluidics, fluidic mechanics, biomedical imaging, and machine learning
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at the University’s Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V., 2 reference letters and a cover letter outlining research experience and publication record. Review of applications will start as
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post(s). Applicants should apply online at the University’s Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until
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. The current publications of Prof. Zhang can be found at: https://scholar.google.com/citations?user=-mbKVoEAAAAJ&hl=en A competitive salary commensurate with qualifications and experience will be offered, in
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oversee the cohort team. Enquiries about the duties of the posts should be sent to familyco@hku.hk . Information about the School can be obtained at http://sph.hku.hk . Those who have responded
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opportunity for academic publications, building research partnerships with international researchers and local mental health service providers, and learning the implementation of a mega mental health research
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expected to take up a leading role to oversee the cohort team. Enquiries about the duties of the posts should be sent to familyco@hku.hk . Information about the School can be obtained at http://sph.hku.hk