98 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab" positions at Aalborg University in Denmark
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University, preferably 3-6 months at a foreign research institution. Please visit the website of the doctoral school for further information on admission requirements. Who we are The research group focusses
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more about the department at www.es.aau.dk. Your work tasks The PhD project is part of a bigger Novo Nordisk Foundation (NNF) New Exploratory Research and Discovery grant entitled: Information Theoretic
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(students, staff, and visiting researchers) with sample preparation, measurements, and data analysis Participation in maintaining laboratory safety, including handling of equipment and chemicals Teaching
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-drive systems. Across the above areas, you are expected to contribute to model-based and data-driven/AI-based methods, including digital twins, physics-informed learning, data analytics, and AI-assisted
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quantitative analysis of register, survey, and patent data to various qualitative methods. If you have an interest in, or experience with, novel computational methods such as NLP, machine learning, and AI
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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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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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testing and condition monitoring using modern machine learning, including multimodal foundation models and related data-driven and physics-informed approaches. Research topics may include visual and real
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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
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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