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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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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 media Scientific
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the following primary tasks: Develop inspection methods for assessing component condition and material quality Perform testing and analysis to support remanufacturing decisions, including Elemental composition
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central to achieving the project’s ambitious academic, industrial and societal impact goals. DTU Construct is seeking a Postdoc to develop robust metrics and data collection methods for measuring and
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central to achieving the project’s ambitious academic, industrial and societal impact goals. DTU Construct is seeking a Research Assistant to develop robust metrics and data collection 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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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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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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of the University of Groningen in The Netherlands. The position is available within the research project "Aggregating Safety Prefer-ences for AI Systems: A Social Choice Approach." The project aims to develop formal
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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