51 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation"-"Simons-Foundation" research jobs in Hong Kong
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posts) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project - “Study on design and analysis of high-performance parallel manipulators
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evaluation of model outputs from multiple dimensions; (b) model feedback and optimisation support including provision of improvement suggestions to optimise model understanding capabilities, generation
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demonstrate a strong sense of responsibility and have a good command of written and spoken English. The ideal applicant is self-motivated, detail-oriented, and capable of managing multiple tasks. Good
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independently and in a team. Priority will be given to those who have solid research experience in the field of education. The appointee will assist the Lead Researcher to conduct landscape research and multiple
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and the substantive realization of our values and mission in the Hong Kong society and the world. The appointee is expected to (a) conduct independent and collaborative research; (b) teach multiple
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Health or other related disciplines with at least 2 years of post-bachelor's work experience. Previous work experience in big data analysis, managing large databases of multiple research projects relating
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approach” and (2) “Multiple component outputs: Well-being design for public housing and Spatial design for older people in long-term care homes”. They will be required to: (a) liaise with external
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qualification from prestigious universities; and (b) good English communication skills and programming skills. Applicants are invited to contact Dr Zhang Linti at telephone number 2766 7101 or via email at
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Computer Science or related fields; (b) be proficient in Python and Go programming languages and familiar with Linux operating systems; (c) have a strong command of SaaS application development, including user
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Chinese; (c) have good teamwork and interpersonal skills; (d) have experience in psycholinguistic methodologies for data collection and analysis; and (e) be proficient in computer programming with