21 machine-learning-perception Fellowship positions at Hong Kong Polytechnic University
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– “A human-like progressive learning paradigm for embodied AI: Meta skills for robots by watching and imagination”. They will be required to: (a) identify irreducible low-level sensorimotor units
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Secondary subjects/“Attained” in Applied Learning subjects/Grade E in Other Language subjects, and the five subjects must include English Language, Chinese Language and Mathematics. Applicants are invited
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to those with: (a) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modelling; (b) experience in AI and geospatial computer version; (c) advanced
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Assistant [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project - “Research on high-efficiency ultra-precision damage-free machining
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Assistant [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project - “Development of robot-assisted ultra-precision machining technology and
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the project leader in the research project - “Empowering language education in the AI era: Developing students’ self-regulated learning skills in English speaking”. He/She will be required to: (a) conduct
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The appointees will assist the project leader in the research project - “Research centre for non-invasive brain computer interface”. Qualifications For the post of Postdoctoral Fellow, applicants should have a
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The appointee will assist the project leader in the research project - “Enabling secure and resilient distribution grid operations through physics-informed topology learning and coordinated network-load
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initially, with possibility of further appointment] Duties The appointees will assist the project leader in the research project - “Trust-initiated project on fostering an inclusive and empowering learning
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-time/Part-time) (several posts) [Appointment period: each for six months] Duties The appointees will assist the project leader in the project - “Developing an LLM-based multi-agent language learning