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) (to commence in May 2025 until end of June 2026) We now invite applications for the captioned post that involves work for an Education Bureau (EDB) project on parent-teacher associations in primary/secondary
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advanced expertise in developing AI applications using offline/online LLMs (e.g., GPT, Qwen, DeepSeek, Mistral, Llama, Gemma) within Linux environments. They must also demonstrate proficiency in clinical
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adequate knowledge of quantitative research methods, as well as a good command of written English. Experience and passion in research topics of palliative and end-of-life care and public health will be
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computational screening, or machine learning for materials property prediction is essential. Candidates with prior experience in developing AI models for accelerated materials discovery, optimization of material
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will be given to applicants with experience in multimodal imaging analysis, federated learning, or interpretable AI methods for clinical applications. The appointee will be expected to (i) develop novel
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study of growth among children and adolescents in Hong Kong. We aim to identify the vulnerable group and estimate their future risk to develop the guide for effective interventions. You will be expected
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experience will be offered, in addition to annual leave and medical benefits. For RAP, the appointment on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits
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will be offered. The appointment on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary. Other benefits include annual
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qualifications and experience will be offered. The appointment on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme at 10% of basic salary. Other benefits
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ethical approval application, consent form and information sheet preparation, instrument development and validation, scale development, data cleaning and analysis, and report writing. Support the PI in