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- “Integration of multimodal large language model and artificial intelligence in internet marketing and consumer behaviour research”. He/She will be required to: (a) design and conduct experiments and data
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or developing and validating patient-reported outcome measures; (c) proficiency in statistical software such as R, Stata, SAS or Python for advanced modeling; and (d) good publication record in peer
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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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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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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
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/TEA modeling, data analysis, and relevant software applications. For the post in Laser Flame Diagnostics, applicants should have relevant experimental background and data processing skills. For all
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computational modelling is a plus. The appointee should be organized, self-motivated and be able to work independently as well as in a team. He/she will work under the supervision of Professor Cora Lai in
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research directions include: Reversible material representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture
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the field of large vision models or large language models. Additionally, the appointee will be responsible for submitting grant proposals to various funding bodies. Furthermore, the appointee will have the
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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