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Linguistics or a related discipline; (b) demonstrable experience in quantitative research design and statistical analysis (e.g., regression modelling, mixed-effects models, significance testing, effect sizes
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learning models and are familiar with foundation models. Applicants are invited to contact Dr Ren Ge Gary at telephone number 3400 8595 or via email at [email protected] for further information
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in the research project - “Towards efficient stamp forming of thermoplastic composites through data-driven thermo-mechanical modelling”. Qualifications Applicants should have a doctoral degree or an
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the project leader in the research project - “GNSS/5G/LEO Joint direct positioning: theoretical modelling, algorithm development, and performance evaluation in city areas”. Qualifications Applicants should have
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- “Suppressing multipath-induced false alarms for robust 5G mmWave UAV detection via geometric channel modeling”. Qualifications Applicants should have an honours degree or an equivalent qualification and research
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the research project - “Towards efficient stamp forming of thermoplastic composites through data-driven thermo-mechanical modelling”. Qualifications Applicants should have a Master’s degree or a good honours
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interface that interacts with a DL model and/or LLM at the backend; (c) explore and recommend new AI technologies; (d) compile presentation materials and write reports; and (e) perform any other
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skills in modelling and optimization; and (c) be proficient in English. Applicants are invited to contact Prof. J. Z. Ren at telephone number 2766 6596 or via email at [email protected] for further
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Generative AI”. He/She will be required to: (a) investigate cutting-edge techniques for foundation large language models and multimodal large language models, with emphasis on pre-training, post-training
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- “Advance the modelling of tourist intra-urban destination choice: Crowdsourced data fusion and development of discrete choice models”. Qualifications Applicants should have an honours degree or an equivalent