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to twelve months initially, with possibility of further appointment] Duties The appointees will assist the project leader in the research project - “Hybrid neural-physical solvers for biomedical simulations
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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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Research Assistant, applicants should have an honours degree or an equivalent qualification. For all posts, preference will be given to those with experience in finite element simulations and high
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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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machine learning methods, particularly large language models (LLMs), to marketing research. Applicants are invited to contact Prof. Edward Lai at telephone number 2766 7141 or via email at edward-yh.lai
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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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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