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machine learning model evaluation for smart building services”. The appointee will be required to: (a) write and programme the advanced AI Large Language Model algorithm and framework; and (b
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Department of Computing Research Fellow / Postdoctoral Fellow / Research Associate / Research Assistant (Full-time/Part-time) (Ref. 250725006) (1) Research Fellow / Postdoctoral Fellow (Full-time
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Department of Computing Postdoctoral Fellow / Research Associate / Research Assistant (Ref. 250730005) (1) Postdoctoral Fellow [Appointment period: three to twelve months] (2) Research Associate
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) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling; (b) experience in AI and geospatial computer version; (c) advanced skills in scientific
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- “Understanding and predicting consumer psychology and behavior with generative AI digital twins”. Qualifications Applicants should: (a) have a doctoral degree in Computer Science or other related disciplines
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representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture optimisation of foundation models Inverse design of next
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Department of Land Surveying and Geo-Informatics Postdoctoral Fellow / Research Associate / Research Assistant (Ref. 250603024) (1) Postdoctoral Fellow / Research Associate (two posts) (2
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Assistant (two posts) [Appointment period: each for twenty-four months] Duties The appointees will assist the project leader in the research project - “Metal forming technologies and numerical modelling
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, immunohistochemistry, EEG/EMG in mice is strongly preferred. Experience in molecular cloning or computational modeling is a plus. The appointee should be organized, self-motivated and be able to work independently as
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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