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The appointee will assist the project leader in the research project - “MLFF-agent: autonomous discovery of machine-learning force field with large language model”. He/She will be required to: (a) be the
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- “Multi-agent systems with variable morphology: models, controls, and applications”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants are invited to contact
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. 250908010) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project – “AiFashion: multi-modal and multi-dimensional large model based on self
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for user-centered metaverses”. He/She will be required to: (a) conduct empirical research on EEG-based VR and creativity: • design and execute experiments integrating EEG signal acquisition with
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project - “Deep learning-based approach for process parameter optimization of SiC wafer under limited data”. He/She will carry out research in the areas of machine learning and data science, and also be
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leader in the research project - “Eye robot for autonomous clinic: prototype development”. He/She will be required to: (a) contribute to the development and implementation of deep learning models
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computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning”. Qualifications Applicants should have an honours degree or an equivalent
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the research project - “Understanding open-world 3D scene and interaction from egocentric video for visual assistants and robot agents”. Qualifications Applicants should have an honours degree or an equivalent
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) perform myopia research using animal models; (b) perform biometric measurements on animal eyes and analyse images and statistical data; (c) perform mass spectrometry and bioinformatics analysis; (d
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assist the project leader in the research project - “Personalized human and intention modeling technology for socially assistive robots”. They will be required to: (a) conduct the research on