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on developing machine-learning-based or statistical emulators to approximate key outputs of complex Earth System Models, with the aim of enabling efficient uncertainty quantification, sensitivity analysis, and
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and reduction of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts
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and technicians to solve analytical challenges and develop, optimize, validate and apply analytical methods to evaluate food safety. Key Responsibilities - Perform trace-level analysis of organic
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explores the Danish Golden Age (1750–1930) through a detailed analysis of textual and visual sources using a computational approach. The Danish Golden Age marked the emergence of structured news flows
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Analysis of CO2-to-Food Pathways We are seeking a postdoctoral researcher (or research assistant, depending on qualifications) to contribute to the modeling, integration, and techno-economic assessment
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contributes meaningfully to the broader scientific field. Your competencies The successful candidates should have excellent grades, strong mathematical and simulation skills and problem-solving mind-sets. It is
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, postdoctoral researchers, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems integration. Your work
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collaborations between experimental and theoretical researchers. The center enjoys connections to other quantum science activities in Copenhagen, for example in quantum optics and mathematical quantum information
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characterisation (e.g., X-ray diffraction, spectroscopy, and elemental analysis). Thin-film growth and surface characterisation (e.g., Raman spectroscopy, X-ray photoelectron spectroscopy, scanning, and atomic force
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work of the research group, it will include elements of method development within sample preparation, instrumental and data analysis, quality assurance/control and semi-quantification, in the context