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independently and as a team. Knowledge and experience in using mixed research methods are highly preferred. A strong publication track record on peer-reviewed academic journals and research grants will be
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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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skills, and an excellent command of written and spoken English and Chinese are essential (knowledge of spoken Cantonese would be an advantage). A strong background on quantitative research methods and
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Chinese (knowledge of spoken Cantonese would be an advantage). A strong background on quantitative research methods and statistical modeling as well as the design and validation of performance assessment
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) and perform any other duties as assigned. On-the-job training related to research and statistical methods will be provided. A highly competitive salary commensurate with qualifications and experience
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executing mixed-method research (observational studies, focus groups, interviews, surveys) under the supervision of Principal Investigator (PI) Performing quantitative and qualitative analysis under
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experience in one or more of the following areas: development of methods for multi-omics data integration, application of machine learning models in life science, single cell data analysis and spatial
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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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Sciences, Chemistry, Physics, Computer Science, or related disciplines with a strong background in computational methods and machine learning. Experience in materials informatics, high-throughput
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mixed methods studies (e.g. patient recruitment, conducting individual and/or focus group interviews, designing questionnaires for survey studies, survey validation, data collection, and qualitative and