100 high-performance-computing-postdoc research jobs at Hong Kong Polytechnic University
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complex business processes and continuously optimise workflow systems to ensure system stability and efficiency; (c) develop high-quality, high-performance AI service backends based on Python and FastAPI
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and be required to: (a) develop high-performance, scalable backend services using Python and Go; (b) develop and maintain SaaS applications, including user management, SSO, and permission systems
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Department of Computing Postdoctoral Fellow / Research Associate / Research Assistant (Ref. 250730005) (1) Postdoctoral Fellow [Appointment period: three to twelve months] (2) Research Associate
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- “Additive manufacturing of high-performance biomedical titanium alloys and artificial joints 1”. The appointee will carry out research in the area of advanced materials. He/She will be required to: (a
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computing with Python and R; (d) experience in high-performance and cloud computing for data processing; (e) the ability to work independently and collaboratively with an interdisciplinary research team
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the project leader in the project - “Development and validation of an AI-powered system for objective eye movement monitoring”. He/She will be required to: (a) perform data collection and administrative
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leader in the research project - “The influence of baseline relative peripheral refraction in myopia control using myopic defocus”. He/She will be required to: (a) perform data collection and
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given to those with research experience in drone delivery optimization, machine learning, reinforcement learning and operation research. Applicants are invited to contact Prof. Siyuan Feng at telephone
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project – “Investigation on key technology of high-performance SnO2 quantum dots enables low voltage loss and efficient perovskite photovoltaics”. Qualifications Applicants should have: (a) a doctoral
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) experience in providing support of publishing high quality conference or journal papers. Applicants are invited to contact Dr Emma Shujun Wang at telephone number 2766 7670 or via email at shu-jun.wang