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                Employer- THE UNIVERSITY OF HONG KONG
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                factor of the journal; (ii) journal rank in category in the format of ‘the rank out of total number of journals in that specific category’, with reference to Journal Citation Reports (JCR); and (iii 
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                collaborative research in ocean remote sensing and related fields. Develop and apply advanced methods in satellite data analysis, AI, and field validation. Publish research in leading peer-reviewed journals 
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                biomedical sciences, bioinformatics, clinical research or related field strong clinical trial experience (design, execution, and regulatory submissions) proficiency in bioinformatics, statistical analysis (R 
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                study designs, overseeing the timeline of project research outcomes, data collection, management, analysis and interpretation, preparing research reports and research papers, training research assistants 
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                . Applicants with expertise in digital methods for historical analysis, as well as knowledge and practical skills in using digital applications for research and pedagogy, will be given preference. General 
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                -assisted iterative writing improvement: AI integration strategies and feedback engagement”. He/She will be required to: (a) collect data; (b) conduct data analysis; and (c) perform any other duties 
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                in flow stability analysis and solid knowledge of computational fluid dynamics. Applicants are invited to contact Prof. J. Hao at telephone number 3400 8060 or via email at jiaao.hao@polyu.edu.hk 
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                , machine learning, analysis of unstructured and multimodal data, or advanced quantitative methods and use of AI in communication studies will have an advantage. The appointee will assist in a General 
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                . degree/ Doctoral degree by research/ equivalent in Cancer Biology/Biological/Biomedical Sciences, or related disciplines, with relevant work experience in cancer immunotherapy, cancer biomarker analysis 
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                Development and Analysis Train and benchmark unimodal (image-only) and multimodal (image + questionnaire) models (e.g., ResNet, ViT, BERT); and Implement explainability and feature attribution methods (e.g