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- “Development and application of intelligent localization and mapping system for autonomous underwater robots based on multi-modal fusion”. They will be required to: (a) conduct advanced research on multi
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constraints using multi-scale feature fusion and generative data augmentation to enhance LVLM perception capabilities; (c) optimise model efficiency: implement model distillation techniques to compress LVLMs
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the project leader in the research project - “Mechanisms and key technologies of multi-sensory emulation wearable devices”. Qualifications Applicants for the Senior Research Fellow post should have a doctoral
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- “Data-driven algorithms for multi-product inventory systems with non-stationary demand”. Qualifications Applicants should have:- (a) a doctoral degree, preferably in the area of operations management
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project - “Research centre for unmanned autonomous systems”. Qualifications Applicants should have: (a) a doctoral degree or an equivalent qualification and must have no more than five years of post
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the research project - “A novel sustainable campus lighting and charging infrastructure managing flexible multi-source power generation”. They will be required to: a) lead power generator design and
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the research projects - “Monitoring and predicting slope instability in forested terrain from multi-mode remote sensing data” and “Resilience of rural infrastructure and communities to climate change
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system for autonomous underwater robots based on multi-modal fusion”. They will be required to: (a) conduct advanced research on multi-modal fusion techniques for localization and mapping; (b
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assessment”. They will be required to: (a) conduct advanced research on multi-modal fusion techniques for localization and mapping; (b) develop and implement algorithms for autonomous robots; (c
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leader in the research project - “Intelligent underwater vehicles for cross-sea transport infrastructure inspection”. They will be required to: (a) conduct advanced research on multi-modal fusion