56 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Postdoctoral research jobs at THE UNIVERSITY OF HONG KONG
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leave and medical benefits. The University only accepts online application for the above post at the University’s Careers site (https://jobs.hku.hk ). Applicants should apply online and upload an up
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machine learning and operations research. b) The applicants are expected to deliver research outcomes to our industry partners, to support practical applications in semiconductor manufacturing. c
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, university professors and their students, administrators, other staff, the general public, and other HKU and HKMoA/LCSD stakeholders. Teach not less than one and up to two courses per year, and offer one
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under Professor Honglin Chen’s lead at https://hub.hku.hk/cris/rp/rp00383 . Those who have responded to the previous advertisement (Ref.: 526990) need not re-apply. A highly competitive salary
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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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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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. 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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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
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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