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Requirements A Ph.D. degree, preferably with experience in multiomics and/or bioinformatics Demonstrated evidence of high-quality research as indicated by publication record Excellent project management skills
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Bioinformatics, Computer Science, Medical Informatics, biostatistics or a related discipline, with a good research publication record and strong programming skills. Preference will be given to those with previous
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. They should have solid knowledge of chemistry and biology, and an excellent command of spoken and written English and Chinese. Experience in bioinformatic data analysis including microbiome, virome and
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, Computer Science, Electronic Engineering, Artificial Intelligence, Biomedical Engineering (Health Informatics and/or Bioinformatics), Medical Statistics, Public Health and Epidemiology, and other majors
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transport theory, and mesoscopic systems are preferred. Applicants who are in the process of completing a Ph.D. degree will also be considered. A highly competitive salary commensurate with qualifications and
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, fluent in written and spoken English, and competent in basic computer database management. Familiarity or experience with gene sequencing or gene manipulation will be an advantage. The appointee will be
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vulnerable groups to address digital inequality. He / She will work closely with the PI and the project team to: Contribute to all aspects of research process, including study design, instrument development
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Python programming skills for processing annotated data, implementing fine-tuning techniques (e.g., Chain-of-Thought, Retrieval Augmented Generation), and optimizing outputs through cross-referencing and
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and conducting cost-effectiveness analyses. Applicants must have a track record in securing competitive grants as principal investigators, managing IRB processes, patient recruitment, and media
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the coordination and monitoring of the instrument development and validation process, including seeking advice from the PI & co-Is to ensure the quality of research design and implementation. Conduct pilot studies