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of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment
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with a total of 18 PhD stipends. The AI:HealthData Lab is part of the AI:X initiative with two PhD stipends and is a collaboration between the Data Engineering, Science, and Systems (DESS) research group
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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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complex interaction patterns that may carry important biological information. By integrating deep learning, genome-wide simulations, functional genomics, and large-scale biobank data, AI:GENOMIX aims
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Communication, the Faculty of Social Sciences and Humanities and the Center for Clinical Data Science (CLINDA), Department of Clinical Medicine, the Faculty of Medicine. AI:GENE-XPLAIN develops AI tools
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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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on different aspects of AI, with main focus on visual data. You may read more about VAP Lab, including current projects and members, here: https://vap.aau.dk/ The candidate will also be part of the Pioneer
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using signal changes to learn about the weather and take appropriate action. By combining AI with physics and real-time data, the project improves weather forecasts and makes communication systems more
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recruitment process at https://employment.ku.dk/faculty/recruitment-process/ . Questions For specific information about the PhD fellowship, please contact Shingo Kono (shingo.kono@nbi.ku.dk). General
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the global top tier. For example, csrankings.org lists DESS as no. 2 in Europe and no. 11 in the world within Databases for the period 2021-2025. More information about DESS can be found at: https