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, immunohistochemistry, EEG/EMG in mice is strongly preferred. Experience in molecular cloning or computational modeling is a plus. The appointee should be organized, self-motivated and be able to work independently as
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data science, statistics, psychology, public health, social sciences, or related disciplines. Proficiency in statistical analysis, data mining, predictive modeling, and machine learning algorithms
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of family and mental health are preferred. They should be competent in advanced quantitative analysis (e.g. SEM, multi-level modelling, factor analysis) and experienced in using statistical software (e.g
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. Experience in ischemic animal models and electrophysiology will be an advantage. Those with less experience may be considered for appointment as Associate Professor or Assistant Professor. The appointee will
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surges), heavy precipitation, and droughts; and AI in climate modelling and/or simulations. Climate Adaptation: adaptations to climatic risks from multiple stressors such as sea level rise, storm surges
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least 5-year work experience in related-field extensive experience in flow cytometry and cell sorting, multi-omics, and handling of animal models in kidney diseases excellent analytical, organizational
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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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or an equivalent qualification; (b) have experience in conducting research, and skills in AI for processing modelling and optimization; and (c) be proficient in English. Applicants are invited to contact Prof
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to advancing the science of urban systems and the applications of urban systems research. It continues exploring new urban systems models through interdisciplinary approaches that can add new insights
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oncology-specific NLP models with peer-reviewed publications is preferred. Strong quantitative skills are mandatory, including analysing large-scale databases (e.g., Hospital Authority EHR) using R/STATA/SAS