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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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- “Advanced computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning”. Qualifications Applicants should be form five school leaver with
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and summarize findings related to AI and large language models and their applications to above mentioned fields; Prepare research reports, presentations, and manuscripts for publication; and Collaborate
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qualification; (b) have experience in conducting research, and skills in operations management, modelling and optimization; and (c) be proficient in English. Applicants are invited to contact Prof. J. Z
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the project leader in the research project - “Enhancing coastal reclamation modelling using satellite geodesy and deep learning”. Qualifications Applicants for the Research Associate post should have a master’s
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required to: (a) research and develop novel AI and XR algorithms/software/tools for medical image analysis and computer-assisted surgery tasks; (b) research and develop novel deep learning models
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computational screening, or machine learning for materials property prediction is essential. Candidates with prior experience in developing AI models for accelerated materials discovery, optimization of material
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appointee will join the LEO Dr. David P. Chan Institute of Data Science and will be expected to: (i) carry out research and submit papers to top journals in the field of large vision models or large language
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. degree in cognitive neuroscience, neural computation and machine learning, or a related field with a strong background in EEG, functional near-infrared spectroscopy (fNIRS), or computational modeling, as
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) lead market analysis, requirements gathering, and conceptual design; (b) optimise electromagnetic design of motor through simulations; (c) develop control algorithms and models; (d) guide