26 power-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in Hong Kong
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will join an active research group at SWIMS working on marine ecosystem restoration, with a particular focus on developing novel technologies for habitat rehabilitation, environmental engineering
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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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, information technology, engineering, or a related field. Candidates must have a minimum of four years' experience in teaching, school-based support, or project management. Strong communication skills and proficiency in
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Ref.: 536609 Work type: Full-time Department: Department of Urban Planning and Design (01300) Categories: Senior Research Staff & Post-doctoral Fellow The Department of Urban Planning and Design invites applications for Post-Doctoral Fellow positions in AI Agents for BIM and...
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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