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qualification; (b) have basic understanding of blockchain systems and smart contracts with Ethereum preferred; (c) have programming proficiency in at least one language such as Python or C/C++; and (d) have the
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proficiency in machine learning, statistical modeling, and data analysis using Python, R, or similar platforms. Experience in grant proposal writing, scholarly manuscript preparation, and psychological
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’ experience in epidemiology, data science, data analysis, or data management field. Proficiency in analytics tools such as Python, SQL, and R Strong analytical and problem-solving skills. Good command of spoken
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. Proficiency in SQL, Python/R, or similar tools; experience with big data platforms , machine learning, and data warehousing. Commitment to quality, integrity, confidentiality and compliance. Excellent
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minimum 5 years’ experience in epidemiology, data management, programming and statistics at supervisory level. Proficiency in SQL, Python/R, or similar tools; experience with big data platforms , machine
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analytics tools such as Python, SQL, and R Strong analytical and problem-solving skills. Good command of spoken and written English and Chinese (including both Cantonese and Putonghua). Shortlisted candidates
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an advantage; (c) good teamwork and interpersonal skills; (d) proficiency in the Python programming language, including familiarity with the main libraries for textual data processing and web scraping; and
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mandatory; Strong analytical and critical thinking abilities; Proficiency in relevant tools, e.g., SPSS, R, Python, NVivo; Excellent written and verbal communication skills; Ability to work independently and
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intend to pursue further study on Economics are preferred; and Knowledge of programming, e.g., R, Python, etc. is preferred. The initial appointment will be offered on a fixed-term contract for up to six
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; Proficiency in relevant tools, e.g., SPSS, R, Python, NVivo; Excellent written and verbal communication skills; Ability to work independently and meet deadlines; and Highly responsible and attentive to details