67 evolution-"https:"-"https:"-"https:"-"Universidade-do-Minho---ISISE" positions in Hong Kong
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sector and contribute to human health. Applications are invited for appointments as Project Specialist (Ref.: H01/2025/121) for innovative technology and product development projects specifically in
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, Software Engineering or other related disciplines; (b) experience in WebGL-based frontend development amd LLM-driven agent development; (c) a good command of written English; and (d) good
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the Vaccine Process Development workstream and contributes to others workstreams of the HKJCGHI, including capacity building. These areas of work are in sync with HKJCGHI activities of the Science Unit in Seoul
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and/or curriculum development. The appointees are expected to play a key role in leading the School’s advanced clinical training and laboratory teaching programmes, pursuing new strategic directions
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will assist the project leader in the research project - “Development of Fe-based high-entropy alloys with superior mechanical properties”. Qualifications For the post of Postdoctoral Fellow, applicants
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of Public Administration (MPA). The appointee will contribute to teaching and curriculum development across undergraduate and postgraduate programmes, supervise graduate capstone projects, support programme
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months] Duties The appointees will assist the project leader in the project - “Personal and leadership development research initiative”. Qualifications For the Project Associate post, applicants should
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- “Flipped learning development project”. Qualifications Applicants should have a higher diploma or a diploma or an equivalent qualification in the appropriate discipline plus at least 3 years’ relevant post
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upon our proud traditions and strengths by engaging in innovative, high-impact, and leading-edge research and development, creating a learning environment that maximizes the potential of all students
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for hepatocellular carcinoma; (b) establish secure, regulatory-compliant development platforms capable of ingesting, curating, and continuously learning from multi-center hepatocellular carcinoma datasets; (c