18 data-"https:"-"https:"-"https:"-"https:"-"NOVA.id" Postdoctoral positions at THE UNIVERSITY OF HONG KONG in Hong Kong
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Ref.: 533703 Work type: Full-time Department: Department of Data and Systems Engineering (14400) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff We are seeking highly
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to apply Website https://www.timeshighereducation.com/unijobs/listing/403727/post-doctoral-fello… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteTHE
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our research team at HKU working at the forefront of ocean remote sensing and global change monitoring. Our work combines satellite data, physical models, and AI methods to understand ocean dynamics and
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a Ph.D. degree in Health Science, Sport Science, Psychology, Public Health or Gerontology preferably with experience in coordinating research projects, data management, and research dissemination
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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possess a Ph.D. degree in Nursing, Psychology, Health Science, Sport Science, Public Health or Gerontology preferably with experience in coordinating research projects, data management, and research
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our research team at HKU working at the forefront of ocean remote sensing and global change monitoring. Our work combines satellite data, physical models, and AI methods to understand ocean dynamics and
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proficient in data analysis using statistical or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic
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involving animal immunization, immune assays, flow cytometry, cell imaging, deep sequencing and data analysis, etc. Enquiries about the post should be sent to the AIDS Institute at aidsinst@hku.hk . A highly
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multicultural students in primary and secondary schools in Hong Kong. He/She will be required to oversee the research timeline, develop data-driven methodology to inform the learning and teaching of Chinese