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to Professor Manuel Espinoza at mesp@hku.hk . Information about the School can be obtained at https://sph.hku.hk/. Qualifications and Qualities Applicants should: Possess a PhD degree in Health Economics
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funding, and publish in top-tier journals while benefiting from the lab’s expertise and resources. Requirements PhD in Biomedical Sciences, Bioinformatics, Stem Cell Biology, Epigenetics, Computational
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resources. Requirements PhD in Biomedical Sciences, Bioinformatics, Stem Cell Biology, Epigenetics, Computational Biology, or a closely related field. At least 3–5 years of postdoctoral experience with a
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) to integrate advanced AI/ML techniques into the RWE generation pipeline. Requirements PhD degree in Epidemiology, Data Science, Statistics, Computer Science, Informatics or related disciplines. Preferably
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stakeholders and external clients/sponsors. Ensure all data handling and analysis comply with stringent data security, privacy, and governance protocols. Requirements PhD degree or above in Epidemiology, Data
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. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics, Information Systems, or a related field. Minimum of 5 years’ experience in data engineering, data ops, or AI/ML data
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scientifically sound. Ensure all AI models are developed with considerations for fairness, ethics, and transparency. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics
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security, privacy, and governance protocols. Requirements PhD degree or above in Epidemiology, Data Science, Statistics, Information Systems, Computer Science, or related disciplines. Minimum 3 years
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excellence and continuous methodological improvement. Collaborate with the Data Scientist (AI) to integrate advanced AI/ML techniques into the RWE generation pipeline. Requirements PhD degree in Epidemiology
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, PhD students, a lab technician and a research officer to join the international lab of Professor Khuloud Al-Jamal, a Chair of Drug Delivery and Nanomedicine. The aim of our lab is to use nanotechnology