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of study itself. Examples include: how scientific choices (methodology, references) differ between large language models and human scientists; how we measure the capabilities of large language models in
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inequalities between different population groups. The PhD project will utilize large scale individual-level datasets, such as register and survey data, with information on individuals, their housing situation
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advanced AI methods to extract meaningful knowledge from large-scale, heterogeneous, and high-dimensional biomedical and population data, often referred to as Big Data in the health and life sciences
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21 Apr 2026 Job Information Organisation/Company Fondazione Bruno Kessler Research Field Other Researcher Profile Other Profession Positions PhD Positions Application Deadline 15 May 2026 - 23:59
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25 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire national des champs magnétiques intenses Research Field Physics Physics » Solid state physics Physics » Surface physics
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-ray Computed Tomography (XCT) has evolved into a significant "big data" challenge, with a single scanner easily generating over 10TB of data annually. The sheer volume of this structured data creates
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transformation and large green investments in northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition
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21 Apr 2026 Job Information Organisation/Company Fondazione Bruno Kessler Research Field Other Researcher Profile Other Profession Positions PhD Positions Application Deadline 21 May 2026 - 23:59
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from lexical sources, input of knowledge into large language models, especially for digital humanities, data-driven folkloristics, interpretation of generative large language models, social science
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function is one of the central open questions in biology. This project aims to address this challenge using cutting-edge AI and large-scale multimodal data. We are recruiting a PhD student for the project