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(e.g., scRNA-seq) to investigate cellular heterogeneity, host-pathogen interactions, and immune responses. Structural Bioinformatics & Biophysical Modeling: Protein structure prediction (e.g., AlphaFold
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required. Candidates with experience in artificial intelligence techniques in radiation therapy, imaging analysis, bio-physics modeling and big data management would be preferable. It is also desirable
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to those with: (a) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modelling; (b) experience in AI and geospatial computer version; (c) advanced
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of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R. They should
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- “Architecting multi-agent orchestration frameworks for structurally controllable and interpretable visual synthesis”. He/she will be required to: (a) design orchestration systems for Generative AI models; (b
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multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for publication and independent development will be available
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(such as computational problem-solving with programming, data science, mathematical modelling, and statistics) to empower them to innovate; Delivering interdisciplinary courses with effective and innovative
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Kong and the Greater Bay Area; high-resolution regional climate modelling and dynamical/statistical downscaling; event attribution and climate-risk analytics; compound coastal, pluvial and fluvial
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strong command of one or more of the following areas: CRISPR technology, AAV engineering/production, animal models, primary cell/tissue culturing, high-throughput in vivo/in vitro genetic/pharmacological
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building, but also including digital twin, building information modelling, geographic information system, artificial intelligence, big data analytics, internet-of-things, sensors, blockchain, automation and