388 web-programmer-developer-"https:"-"Institut-Agro-Rennes-Angers" "https:" "https:" positions at Hong Kong Polytechnic University in Hong Kong
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– “Investigation of the evolution of the 67P/Churyumov-Gerasimenko comet nucleus”. Qualifications Applicants should have a master’s degree or a good honours degree with three or more years of research/relevant work
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and provide support to committees and working groups, such as preparation of minutes, notes and reports; (d) plan, coordinate and implement related events such as seminar, conferences, ceremonies
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) experience in programme and/or subject administration; (d) a good command of both written and spoken English and Chinese, preferably with fluency in Putonghua; (e) excellent computer literacy; (f
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; (d) follow up job orders and monitor the progress and quality of work performed by both internal technical staff and external contractors; (e) plan and carry out routine checking and inspection
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both front-end and back-end development (such as Java); (d) have R&D experience with Large Language Models (LLMs); and (e) be familiar with AI agents. Applicants are invited to contact Prof
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Department of Rehabilitation Sciences Executive Assistant (Ref. 251204007-IE) Duties The appointee will be required to: (a) provide administrative support to academic programmes of the Unit; (b
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evaluation of programmes / services including data collection, compilation of statistical reports and report writing; (b) support the data analysis of surveys and reports; (c) liaise with students as
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Industrial Centre Engineer (Ref. 260123006-IE) Duties The appointee will be required to: (a) facilitate student learning and development, and develop corresponding curriculum and pedagogy; (b
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timely progress and adherence to milestones; (d) prepare research reports, documentation and presentations for internal and external dissemination; (e) contribute to the formulation of innovative
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– “Smart Holistic Insurance Enhancement using Learning Algorithms & Decentralization (S. H. I. E. L. D.)”. He/She will be required to: (a) develop machine learning models to predict optimal