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quantitative and analytical skills; (c) in-depth experience in econometric modelling and modern machine learning techniques; and (d) strong proficiency in handling large-scale datasets and advanced
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/relevant work experience. (b) have basic knowledge of software, networking and Windows / Linux OS; (c) have knowledge in Python / PHP / C++ / C# / JavaScript / RDBMS / large language models for AI
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equivalent and must have no more than five years of post-qualification experience at the time of application; (b) be proficient in OceanWave3D (or equivalent) for modelling floating structures; (c) have
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project - “LiDAR aided GNSS multipath/NLOS modeling and mitigation for robotics positioning in urban canyons”. Qualifications Applicants should have an honours degree in Engineering with a strong background
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the research project - “Large vision model for UAV-UGV collaborative map update”. Qualifications Applicants should have an honours degree in Engineering with a strong background in mathematics and programming
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twelve months] Duties The appointees will assist the project leader in the research project - “A vision-language model-based human guided mobile robot collaboration approach for unstructured manufacturing
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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 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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compromise: Exploring scalability through integrated design and its application in smart cities”. The appointee will be required to: (a) model quantum computing platforms; (b) design quantum networks
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The appointees will assist the project leader in the research project - “Adaptive 3D printing: design, manufacturing, modeling and optimization”. Qualifications For the post of Research Fellow, applicants should