26 modelling-and-simulation-of-combustion-postdoc Postdoctoral positions in Hong Kong
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Jupiter’s magnetosphere–ionosphere system. The successful candidate will lead and analyze global magnetohydrodynamic (MHD) simulations of solar wind–magnetosphere–ionosphere coupling, perform data–model
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magnetohydrodynamic (MHD) simulations of solar wind–magnetosphere–ionosphere coupling, perform data–model comparisons, and collaborate closely with Prof. Binzheng Zhang and other DEPS researchers. Requirements a Ph.D
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measurements of indoor environmental quality (IEQ), energy simulations, and machine learning modelling; (b) strong analytical and problem-solving skills, with the ability to conduct research independently
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evaluation. Conduct in vivo studies, including administration of nanoparticles, monitoring fate, therapeutic response, and assessing the impact on disease progression. Develop relevant disease models to assess
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our research team at HKU working at the forefront of ocean remote sensing and global change monitoring. Our work combines satellite data, physical models, and AI methods to understand ocean dynamics and
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
linear regression, mediation analysis, multilevel modeling, and/or latent variable models. Experience in managing and analyzing large datasets, and the use of generative AI tools for research purposes
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change monitoring. Our work combines satellite data, physical models, and AI methods to understand ocean dynamics and environmental changes. Duties and Responsibilities Conduct independent and
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experimental, writing, and communication skills. Preference will be given to candidates with research experience in epigenetics, stem cell reprogramming, neural development, disease modelling using human iPSCs
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optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces, including 3D modelling
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
innovative methods of assessment and/or advanced statistical methods, such as multiple linear regression, mediation analysis, multilevel modeling, and/or latent variable models. Experience in managing and