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factors allow it to flourish over long careers. Using unique large-scale longitudinal data on artists and academic scholars, the project applies methods from applied econometrics and economic demography
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of wind turbines. Despite remarkable progress in structural health monitoring boosted by AI, purely data-driven models have no physical interpretability and poor generalization capabilities. Thus
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portfolio of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from large real-world register data to guide the conduct of further studies according
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for e-DAC. The research will involve molecular-level modeling and data-driven analysis to guide the design of redox-active capture materials, combined with experimental validation in electrochemical cells
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register and survey data. The integration of migrants and questions of potential return migration are increasingly important social issues across Europe, including Denmark. As many first-generation
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metrics with simulated quantities. Bridge theory and experiment as part of an interdisciplinary center with access to systematic data from high-throughput experimentation to refine and validate your models
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approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see
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research environment and supervisor team with expertise in pharmacoepidemiology, pediatrics and child and adolescent psychiatry. We combine clinical perspectives and data sources with advanced population
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(LLMs) to explore historical text data and cultural heritage collections. Collections of historical texts are increasingly used to train AI, but, consisting of highly heterogeneous text data
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macroeconomic paradigms. The research will include: Macroeconomic modelling (using SFC and other approaches) Macroeconomic theory covering different paradigms in macroeconomics Integration of financial data