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types of medical data, such as omics, cell and medical imaging data. The objective is to enhance clinical efficiency and introduce affordable and effective biomedical technology to the society. The role
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, or a related field is required. Experience in designing and executing research projects focusing on AI applications in medical fields such as medical report generation, medical knowledge graph creation
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education mission of the School. The appointee will join a team of medical educators to shape the future of education by leveraging technology to create interactive and effective learning experiences
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: Candidates should have a Bachelor’s degree (for Assistant) or Master's degree (for Associate) in a quantitative field, such as data science, computational biology, mathematics, computer science, (bio
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of the project support. Candidates should have a PhD degree in a quantitative field, such as data science, computational biology, mathematics, computer science, (bio)statistics, or related field. Research
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science, and medical data analysis. Job Requirements: Master's degree in Computer Science, Electrical and Electronic Engineering, Biostatistics, health sciences or allied health or medicine or a related
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publish findings in high-impact journals. Mentor junior team members and contribute to the development of their skills. Stay up-to-date with the latest developments in AI, data science, and medical research
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. Collaborate closely with a cross-functional team, including software engineers, medical experts, and data scientists, to integrate electrical and computing technologies with medical science effectively. Develop
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of medical students and postgraduate research students. Teaching methods will include extensive use of team-based learning and e-learning. The appointee is expected to contribute to integration of the science
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. The appointee is expected to undertake teaching and educational responsibilities for the training of medical students and postgraduate research students. Teaching methods will include extensive use of team-based