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diffraction and related scattering methods, Raman spectroscopy, electron microscopy (SEM and TEM). Carry out electrochemical characterization of the materials in half cells as well as in full sodium ion battery
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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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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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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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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
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and 2005 and utilising various methods from history, digital humanities, and cultural studies. The position is 2,5 years (30 months). The position is based at the Department of History and Classical
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chemical analysis methods, Experience in at least one or more of the following areas is a plus: oxygen-sensitive enzymes (glovebox), metalloenzymes, cultivation of different bacterial cells, enzyme
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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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the boundaries of cellular reprogramming by introducing scalable computational methods that streamline the discovery of reprogramming targets and control strategies. A key innovation of EdgeCR is its
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health data science research analyses. As a postdoc, you will also be part of the teaching and supervision of DTU students, who in turn will also use the infrastructure. Our expectations of you As a formal