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Hong Kong University of Science and Technology, Physics Position ID: HKUST-Physics-POSTDOC1_KTLAW1 [#29811] Position Title: Position Location: Hong Kong, Hong Kong [map ] Subject Areas: Condensed
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 533490 Work type: Full-time Department: Centre for Advancement of Chinese Language Education and
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 533267 Work type: Full-time Department: Restorative Dental Sciences of the Faculty of Dentistry (08026
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, embedded controllers, and closed-loop control routines on prototype hardware; preparing technical reports, delivering presentations to stakeholders, and contributing to journal and conference publications
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. Applicant(s) should possess a Ph.D. degree, or equivalent, in biological or computer sciences or a related discipline. Experience in any of the following fields, including 1) biological image acquisition
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independently and in a team. Familiarity with educational contexts in Hong Kong is an advantage. The appointee will work closely with the Lead Researcher to conduct a landscape research and multiple case study of
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 533113 Work type: Full-time Department: Centre for Information Technology in Education within
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 532606 Work type: Full-time Department: Department of Pharmacology and
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; implementing and testing ROS nodes, embedded controllers, and closed-loop control routines on prototype hardware; preparing technical reports, delivering presentations to stakeholders, and contributing
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
for technology-enhanced learning and pedagogical innovation is crucial. Preference will be given to those with expertise in innovative methods of assessment and/or advanced statistical methods, such as multiple