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well as in a team. Experience in healthcare data analysis and related track records of publishing academic research papers is highly preferred. The appointee will work on healthcare big data related project
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in Education or related fields of study with a publication track record. They should have strong knowledge in classical Chinese and an excellent command of written and spoken English and Chinese
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an outstanding research track record and extensive expertise in cancer bioinformatics, cancer biology, cancer immunology, deep learning models and/or artificial intelligence, as well as hands-on experience with
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spoken English and Chinese; outstanding communication skills; and the ability to multitask and work independently as well as in a team. Experience in healthcare data analysis and related track records
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should: Possess a Ph.D. in Economics, Public Policy, or a closely related discipline, with solid training in economics and quantitative research methods. Demonstrate strong research capability and a track
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, Statistics, Computer Science, or a related discipline. Priority will be given to those with an outstanding research track record and extensive expertise in cancer bioinformatics, cancer biology, cancer
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quantitative research methods. Demonstrate strong research capability and a track record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in
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for Post 1: Urban Analytics An excellent publication track record; publications in Nature portfolio journals are highly advantageous; Experience in grant proposal preparation; and Proven experience in
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, molecular and cell biology, and animal models. Skills in bioinformatics are advantageous. Candidates should be highly motivated and have a track record of publications in international journals. The appointee
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related discipline. Preference will be given to those with excellent track record, research experience and strong expertise in cancer bioinformatics, cancer biology and/or cancer immunology as well as cell