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- “Reliable industrial foundation models for trustworthy industrial robot fault diagnosis in automotive smart manufacturing”. He/She will be required to: (a) carry out research in advanced machine learning
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- “Distribution mechanisms and risk prediction of fungal pathogens and antifungal resistance in urban waters”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have no
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experience at the time of application; (b) have a good command of both written and spoken English and Chinese, with fluency in Cantonese and Putonghua; (c) have experience in intensive longitudinal data
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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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) background and experience in algorithms development and refinement; (b) a good command of both written and spoken English; and (c) at least two first-authored publications. Preference will be given
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/ Research Assistant [Appointment period: each for twenty-four months] Duties The appointees will assist the project leader in the research project - “Study on grain structure control of high-purity oxygen
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carbon air travel in Hong Kong”. They will be required to be involved real-time monitoring of the new biorefinery process for SAF production, signal/data analysis, AI-assisted modelling, sensor and data
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experience in writing research papers and project reports; (e) have solid foundation of using SPSS / R; (f) have a good command of both written and spoken English and Chinese, with fluency in Cantonese
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) [Appointment period: each for two to twelve months] Duties The appointees will assist the project leader in the project - “A large model based data agent for data science and artificial intelligence education