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/Flask, gRPC/REST, async queues, model quantisation and inference optimisation (TensorRT/ONNX); and • Intervention dialogue design: personalised multi-turn conversations conditioned on assessment
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Social Science SOCI – Programming for Social Scientists AILT – Digital Literacy Through a Social Sciences Lens Taught Postgraduate (TPg) Courses MSDA – Statistical Foundations MSDA – Causal Inference in
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, versioned RESTful API (e.g., FastAPI/Flask) for inference; and Containerise services (Docker), set up CI/CD pipelines, and deploy for inference on GPU/CPU servers. Data engineering, Governance, and
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., Grad-CAM, SHAP) to identify key tongue features. API Development and MLOps Package trained models and build a secure, versioned RESTful API (e.g., FastAPI/Flask) for inference; and Containerise services
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data or job advertisements, as well as expertise in web crawling, large language models, and text analysis techniques. An excellent understanding of causal inference methods is essential to develop
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of causal inference methods is essential to develop rigorous research insights. Proficiency in both written and spoken English is required; proficiency in both written and spoken Chinese is advantageous