13 learning-"https:"-"https:"-"https:"-"https:"-"https:" "https:" Fellowship positions at Hong Kong Polytechnic University
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honours degree or an equivalent qualification. For both posts, applicants should also have research experiences in: (1) Machine learning and DFT calculations for hybrid perovskites or other functional
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machine learning and robot navigation; and 3) the ability to publish research findings in high-impact international journals. Applicants are invited to contact Miss Samantha M. S. Sin at telephone number
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learning models and are familiar with foundation models. Applicants are invited to contact Dr Ren Ge Gary at telephone number 3400 8595 or via email at [email protected] for further information
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- “Reliable industrial foundation models for trustworthy industrial robot fault diagnosis in automotive smart manufacturing”. He/She will be required to: (a) carry out research in advanced machine learning
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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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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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-science and signal-analysis tasks, including processing experimental signals, integrating datasets, developing machine-learning models, and mapping measured fuel properties to SAF performance. For the post
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of environmental factors of 60,000 subjects across multiple time points. Our research laboratory has great computing capacity, including multiple H100 and A100 GPU systems for deep learning, and computing clusters
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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