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in longitudinal analyses, multilevel modelling, data visualisation, and state-of-the-art statistical and epidemiological models would be an advantage. The appointees will be primarily responsible
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. Knowledge and skills in mathematics, biostatistics, or advanced statistical techniques in clinical research, database management, and machine learning (AI) will be taken into account. They should have
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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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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
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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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computational screening, or machine learning for materials property prediction is essential. Candidates with prior experience in developing AI models for accelerated materials discovery, optimization of material
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. degree in cognitive neuroscience, neural computation and machine learning, or a related field with a strong background in EEG, functional near-infrared spectroscopy (fNIRS), or computational modeling, as
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culture, molecular and cell biology, and animal models. Those with a Master’s degree plus at least 1-year post-qualification experience or Bachelor’s degree with 3-year post qualification may be considered
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Matter Physics / cond-mat-th , Condensed Matter Physics, Electronic Structure, Strongly Correlated Materials , Condensed Matter Theory , Strongly Correlated Materials , Superfluidity and superconductivity