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involves interdisciplinary research on the development and evaluation of large language models for low-resourced langauges, primarily focusing on Danish and other Nordic languages. The research will focus
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empirical methods, namely on the analysis of: Large-scale microdata sets, in particular, the excellent Danish micro-data; Experiments, both in the laboratory and the field; Other types of primary data like
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inflammation, membranes, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree
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the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Center. DTU Biosustain utilizes these advances for microbial cell factory design to
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limited observational data. WaterColor seeks to fill these critical knowledge gaps through an integrated approach that combines field observations, satellite remote sensing, and advanced optical techniques
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large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500
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studies, surveys); Maintain current models and update them according to the new state of the art large LLMs; Analyze data and transform it into accessible visualizations and knowledge. As part of your
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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 are supported by
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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