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, penalised structural models, and large language models (LLMs), to investigate associations between disease outcomes and complex, high-dimensional, time-varying exposure data. You will integrate rich exposome
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project, you will develop machine learning models that learn from high-throughput experimental datasets to uncover structure–property relationships and guide the selection of new experiments. The datasets
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. Foreseen challenges include data harmonization, key relationship extraction, scalability, metadata structuring, predictive modeling, and data quality assurance. The research will integrate structured and
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quality of after school care and children’s experiences in this field. Key questions are: Which structural quality characteristics predict process quality? (Study 1) Which profiles of after school care
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for pavement lifetime prediction, primarily in Dutch conditions. Foreseen challenges include data harmonization, key relationship extraction, scalability, metadata structuring, predictive modeling, and data
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project aims to develop a structured and scalable decision framework that leverages AI to incorporate measurable ESG indicators alongside traditional financial risk factors. The envisioned framework will be
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quality, thereby enabling the creation of larger structured substrates. Investing in the prevention of wear particles generation is a way to tackle this issue directly at the source, which is particularly
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. This interaction is enhanced by resonant structures, such as metallic or dielectric nanoparticles and metasurfaces. The group is part of the research cluster "Photonics and Semiconductor Nanophysics".
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construction of such a virus, at the nanoscale. By unveiling how viruses are built up, we will not only provide fundamental understanding of these disease causing agents, we will also be able to better
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using nanopore technologies explore structural genomic differences between populations by combining de novo assemblies into a pan-genome graph perform population genomics analyses on re-sequenced animals