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and materials to cater for the learning diversity of multicultural students; promoting learning and teaching (L&T) with assessment data; sharing school-based experience and good practices at teacher
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image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed to ample
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machine‑learning and deep‑learning frameworks for pathogen detection, drug‑target identification, antimicrobial discovery and protein‑protein interaction characterisation. Working familiarity with
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metabolomics datasets. Candidates should be experienced in molecular docking and virtual‑screening pipelines, alongside machine‑learning and deep‑learning frameworks for pathogen detection, drug‑target
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self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole
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The appointees will work on a cross-institutional project dedicated to supporting primary students in Hong Kong to learn Chinese, and to enhance their use of Chinese as a medium of learning. Working closely with
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SQL, Python/R, or similar tools; experience with big data platforms, machine learning, and data warehousing. Commitment to quality, integrity, confidentiality and compliance. Excellent leadership
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Responsibilities Develop and apply advanced artificial intelligence and machine learning models to real-world data (RWD). Create innovative tools and solutions to extract deeper insights from RWD and enhance