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Field
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and purify recombinant proteins using bacterial (e.g., E. coli) and mammalian (e.g., Expi293, ExpiCHO) expression systems. Characterize proteins through biochemical and biophysical methods, including
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, or a closely related field with expertise in one or more of the following areas: Finite element methods for partial differential equations Multiscale numerical methods Flow and transport in porous
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(SUSTAIN) research unit, the LCSA group aims to support industry, policy, and society by developing science-based, sustainability methods and computational tools for life cycle sustainability assessment
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essentially new methods to automatically verify cyber-physical systems. Because none of the existing methods and tools for the formal verification of cyber-physical systems are fully automatic, these methods
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, statistics, economics, biology, physics, or any other quantitative science. Knowledge of/or strong interest in population studies and formal demographic methods Experience in statistical analysis, and/or
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skills, and an excellent command of written and spoken English and Chinese are essential (knowledge of spoken Cantonese would be an advantage). A strong background on quantitative research methods and
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knowledge graph models of such transformations that are self-describing when applied to existing map repositories, and can be scaled up to large data repositories using state-of-the-art AI methods. In
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likely to demonstrate expertise in quantitative methods, potential for publishing research, a collaborative/respectful approach to work, and the ability to effectively manage multiple projects to achieve
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research team to contribute to projects at the intersection of AI/ML, real-world data, and health outcomes. The Postdoctoral Researcher will play a key role in developing and applying cutting-edge methods
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human patient samples and cutting-edge AI-driven analyses Validate computational findings through functional laboratory experiments Develop and optimize protocols involving omics methods, immune cell