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computational biology expertise to analyze complex datasets ensure compliance with ethical and regulatory requirements for clinical research provide leadership and mentorship to junior researchers collaborate
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for estimating population immunity against infectious diseases, to analyse large and complex datasets, and to perform other duties as assigned. He/she will work semi-independently under the supervision and
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on Income and Wealth Inequality (led by Professor Bingjing Li ) Investigating the Networks and Behaviours of the Ultra-Rich (led by Professor Heng Chen ) Examining the Socio-Economic Impacts of Income and
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correlates of protection, analyse large and complex datasets, and perform other duties as assigned. The Post-doctoral Fellow will work semi-independently under the supervision and mentorship of senior academic
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work with a research team to study repeated influenza vaccination effects and correlates of protection, analyse large and complex datasets, and perform other duties as assigned. The Post-doctoral Fellow
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of research include quantum Monte Carlo methods, density matrix renormalization group and tensor network states, and artificial intelligence and neural networks, with particular focus on applying
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complex datasets, and to perform other duties as assigned. He/she will work semi-independently under the supervision and mentorship of senior academic staff and will have opportunities to apply research
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for estimating population immunity against infectious diseases, to analyse large and complex datasets, and to perform other duties as assigned. Post-doctoral Fellows will work semi-independently under
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research and appreciate the complexity of biological systems are particularly encouraged to apply. The abilities to work independently, participate in highly collaborative projects, and contribute