17 power-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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Fellow (several posts) in the Department of Chemistry (Ref. 536698), to participate in a cutting-edge research programme on “Smart Power Systems for Autonomous Platforms,” focusing on next-generation
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coding projects and an ability to independently complete tasks efficiently. An interest in computer graphics and vision is also helpful. This project works on scans of archaeological artifacts, ancient
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of written and spoken Chinese (Cantonese) and English Ability to multi-task and work on a tight schedule to meet project deadlines Ability to work well independently and collaboratively as a team Ability to
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abilities; and (iv) attend to detail, with the ability to work independently as well as collaboratively within a multidisciplinary team. Prior experience in postdoctoral research, project management
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fluency in Cantonese), and demonstrate strong skills in statistical analysis, data management, and project coordination. Applicants should also exhibit the ability to work independently and collaboratively
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proven expertise in antiviral antibody development and microbiological techniques, together with a strong publication record and relevant research experience. They should have the ability to work both
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. They should also have a strong quantitative and qualitative background, a proven track record of research, excellent written and verbal communication skills, and the ability to work independently and
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skills, effective communication skills, and ability to work as an effective member of a team. Applicants should also be proficient in in both written and spoken English and Chinese, including Cantonese
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Cantonese); good communication skills; a strong sense of responsibility; good organizational skills; and the ability to work independently as well as in a team. Preference will be given to those with
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visualisation skills, the ability to present abstract concepts in an accessible way to all organisational levels and to acquire new statistical techniques by self-learning. They should be responsible, mature