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(e.g., multilevel modelling, structural equation modelling, latent profile analysis, etc.), will be an advantage, as will a strong publication record with internationally recognised journals
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image data of ultrasonography, computed tomography, magnetic resonance imaging, using advanced AI and LLMs. Fine-tuning and prompt engineering for Large Language Models. Participate in the development and
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image data of ultrasonography, computed tomography, magnetic resonance imaging, using advanced AI and LLMs. Fine-tuning and prompt engineering for Large Language Models. Participate in the development and
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statistical modeling as well as the design and validation of performance assessment and psychometric instruments is mandatory. Familiarity with mixed-methods and/or intervention research for youths/vulnerable
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curriculum/pedagogical innovation, leadership for technology-enhanced learning, and/or digital literacy would be a clear advantage. Preference will be given to those with expertise in advanced statistical
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a clear advantage. Preference will be given to those with expertise in advanced statistical methods, such as multiple linear regression, mediation analysis, multilevel modeling, and/or latent variable
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of responsibility and commitment. Preference will be given to those with previous research experience in virus-host interaction, influenza viruses and animal models. Eligibility to work in Biosafety
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, Mechanics, Physics or related disciplines Preferably with research experience in cell and tissue mechanics, theoretical modelling of the collective behavior of cells, and multi-scale simulations. With strong
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subject to funding availability and satisfactory performance. The Sau Po Centre on Ageing at HKU is dedicated to advancing research in the field of ageing and caregiving. Our mission is to improve
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and summarize findings related to AI and large language models and their applications to above mentioned fields; Prepare research reports, presentations, and manuscripts for publication; and Collaborate