15 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UNIV"-"UNIV" Postdoctoral positions 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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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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) in implementing research projects on mental health, and be responsible for data collection, data analysis, preparation of presentations, drafting proposal and reports, and performing any other duties
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Responsibilities Drive research activities towards defined goals and priorities within a specified timeline Perform advanced level of data analysis (quantitative and qualitative) Advance knowledge based on the data
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
high-throughput screening. Perform sophisticated transcriptomic data analysis (e.g., RNA-seq, single-cell RNA-seq) to identify novel biomarkers and therapeutic targets. Prepare high-quality manuscripts
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’ post-qualification experience, preferably in the field of education. They should also have a good command of written and spoken Chinese, and experience in IT applications and Chinese computer operations
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’ self-directed learning and Chinese online reading competencies. He/She will assist the Project Leader in overseeing the research aspects of the project, analyse quantitative and qualitative data and
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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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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