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degree or an equivalent qualification in Computer Science or related fields; (b) have experience in web crawler development and maintenance, with proficiency in Python crawler frameworks (such as Scrapy
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system stability and efficiency; (c) develop high-quality, high-performance AI service backends based on Python and FastAPI; (d) assist in the design, optimisation, and maintenance of PostgreSQL
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, facial/micro-expression/body cues, temporal modelling; • Reproducible ML engineering: data/model versioning, benchmarks/A-B tests, experiment tracking (W&B/MLflow); • Model serving: Python/FastAPI
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one programming language such as JavaScript, C++, or Python; (c) be familiar with BIM development frameworks (e.g., Revit API, AutoCAD .NET API, Forge); (d) understand BIM standards (e.g., IFC
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Science, Public Policy or a relevant social science discipline with strong quantitative focus. Priority will be given to those with: The ability to teach Machine Learning, Programming (Python-based
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system; (b) familiarity with CI/CD pipelines or DevOps practice; (c) back-end/database knowledge (Node.js, Python, Go, PostgreSQL, etc.) and holistic understanding of full technology stacks; and (d
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management or a related field, or an equivalent qualification; (b) proficiency in programming, including Python and Matlab, data analysis, and standard Microsoft Office Suite; (c) a publication record
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maintain aviation data analytics pipelines and dashboards to support market analysis, operational decision-making and industry benchmarking; (c) apply AI and big data technologies (e.g., Python, SQL
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backend web developments by using Python Django, Java Web, cloud services, HTML, CSS, JavaScript, Vue.js and/or React.js; and (h) perform any other duties as assigned by the Head of Unit or his/her
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programming (e.g., Python, R, or Stata). Preference will be given to candidates with prior research experience in data-driven projects. Applicants are invited to contact Prof. Xiaolin Li at telephone number