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scientific leaders and researchers. The group of Wang Zhongjian is looking for postdocs working on scientific computing and machine learning related topics. The funding is currently under a MOE grant entitled
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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topological quantum materials. Our group aims to discover new topological quantum phases of matter, explore their physics and apply them to address challenges in electronics, photonics, quantum computing
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reliable, efficient, and responsive to project and stakeholder needs. In parallel, the candidate will provide data science and AI/ML modelling support for strategic healthcare AI projects, including clinical
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reliable, efficient, and responsive to project and stakeholder needs. In parallel, the candidate will provide behavioral, communications and social science research support for strategic healthcare AI
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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. Support the preparation of research publications, reports, and presentations. Collaborate with faculty, postdocs, and industry partners on AI and robotics research projects. Assist in the maintenance and
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. Support the preparation of research publications, reports, and presentations. Collaborate with faculty, postdocs, and industry partners on AI and robotics research projects. Assist in the maintenance and
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. Support the preparation of research publications, reports, and presentations. Collaborate with faculty, postdocs, and industry partners on AI and robotics research projects. Assist in the maintenance and
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. A good track record of supervising research staff, postdocs, graduate students in relevant fields Experienced in cross-disciplinary research initiatives and collaboration. Demonstrated excellence in