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- “Contrast-adaptive real-time (CART) 4D-MRI technique via cascaded deep learning for abdominal tumour tracking in MRI-guided radiotherapy (YIRA)”. Qualifications Applicants should have an honours degree
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independent and collaborative research; (b) prepare and publish high-quality research articles with staff members of the University; (c) contribute to grant writing and funding applications; and (d
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as assigned by the project leader or his/her delegate(s). Qualifications Applicants should have a master’s degree in English Language Studies or a related discipline. They should also have good
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For the post of Postdoctoral Fellow, applicants should have a doctoral degree or an equivalent qualification and must have no more than five years of post-qualification experience at the time of application
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- “Towards digital biomanufacturing – developing physics-informed machine learning framework for the advanced multi-modular 3D bioprinting system”. Qualifications Applicants should have: (a) a doctoral
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project - “Development of self-powered system based on triboelectricity via additive manufacturing for ocean wave sensing and monitoring”. Qualifications Applicants should have; (a) a doctoral degree or
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programming (e.g., Python, R, or Stata). Preference will be given to candidates with prior research experience in data-driven projects. Applicants are invited to contact Prof. Xiaolin Li at telephone number
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as assigned by the project leader, Dean of School or their delegates. Qualifications Applicants should have a bachelor’s degree or above in Data Science or Information System or a related area
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project - “Development of an AI-empowered multi-omics precision oncology platform for cancer patients”. Qualifications Applicants should have an honours degree in Medical Physics, Physics, Biomedical
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project - “Clinical investigation of an AI-empowered multi-omics precision oncology platform for cancer patients”. Qualifications Applicants should have an honours degree in Medical Physics, Physics