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plasticity with a focus on cancer stemness using hepatocellular carcinoma as a model system, that is part of a theme-based collaborative project. For further information, please contact Professor Stephanie Ma
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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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subject to funding availability and satisfactory performance. Applicants should have a PhD degree in biological/medical sciences or related disciplines, with post-doctoral research experience in virology
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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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to funding availability and satisfactory performance. Applicants should have a PhD degree in biological/medical sciences or related disciplines, with post-doctoral research experience in virology
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proficient in data analysis using statistical or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic
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of reports · perform other duties as assigned Requirements a Ph.D. degree in Physics, Materials Sciences or Electronic Engineering at least 1 year’s relevant working experience (including PhD research
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immunology, deep learning models and/or artificial intelligence, as well as hands-on experience with cell culture, cellular/molecular biology, and animal studies. The ideal candidate should be self-motivated
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the field 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
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, tissue culture or primary cell culture models, b) ability to work with infectious small animals, or c) omic-science. The appointee will conduct research projects related to emerging agents of hepatitis