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publication list), a cover letter, and a research statement. Applicants should also arrange three reference letters to be sent to Prof. Stephen Ng by e-mail (stephen_ng@hku.hk ) directly. Review of applications
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highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences across semiconductor manufacturing tools, with the objectives of reducing cycle times
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pluripotent stem cells differentiation, especially those specializing in germ cell development. The appointee is expected to demonstrate both independent research capabilities and effective team collaboration
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the project with major tasks including: organising training courses and public education events implementing research and programme evaluation collecting and analyzing data writing technical reports on research
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The ability to work well independently and collaboratively as a team The capacity to develop and pursue a coherent research agenda The ability to develop a body of high-quality publications in scholarly
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, School of Clinical Medicine, is seeking a highly motivated and talented researcher to join our multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on
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Responsibilities Assist the Principal Investigator in clinical research projects involving neurology patients with stroke or epilepsy Conduct literature review, coordinate projects, recruit subjects, prepare and
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the Project Leader to develop reading tasks, exercises, other teaching & learning instructional resources, and reading materials in accordance with the primary and secondary education reading proficiency
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multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for publication and independent development will be available
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The ability to work well independently and collaboratively as a team The capacity to develop and pursue a coherent research agenda The ability to develop a body of high-quality publications in scholarly