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automated tongue segmentation and regionalisation (e.g., tip, sides, center, root) using models like U-Net/DeepLab and classical computer vision; Develop quantitative features, including color metrics (RGB
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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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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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deployment and post-training of foundation/large models”. He/She will be required to: (a) model quantum computing platforms; (b) design quantum networks and compilation algorithms; (c) evaluate
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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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subject to satisfactory performance and availability of funding. Duties and Responsibilities To conduct research on the numerical modeling of giant-planet magnetospheres, with a primary emphasis on
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immunology and molecular biology techniques, and able to work independently and in a team. Preference will be given to those with work experience in transcriptome, animal models and molecular experiments
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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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To conduct research on the numerical modeling of giant-planet magnetospheres, with a primary emphasis on Jupiter’s magnetosphere–ionosphere system. The successful candidate will lead and analyze global