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methods for multi-marginal optimal transport and related problems”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have no more than five years of post
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qualification; (b) have the background in operations management, and be skilled in multi-criteria decision making, multi-objective optimization and modelling; and (c) be proficient in English. Applicants
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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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project - “Exploring the multi-faceted potential of bispyrazole-based diphosphine ligands: From synthesis to mechanistic studies in cross-coupling reactions”. Qualifications Applicants for the Research
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project - “Towards efficient large model training via learning from small models”. He/She will be required to: (a) enhance the optimisation and the training of multi-modal large models by leveraging
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project - “Safety-certified multi-source fusion positioning for autonomous vehicles in complex scenarios”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must
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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
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novel multi-axis cutting system for ultra-precision machining of micro-structured surfaces on optical crystal materials with minimized subsurface damage”. Qualifications Applicants should have an honours