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journals with ongoing data collection and possibility of further expansion. The candidate will work at the intersection of AI, information retrieval, multimodal learning, and clinical decision-making
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opens for a large amount of novel research within statistical data analysis, ranging from genetic epidemiology to statistical methods development. Research environment: The candidate will have a close
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scientific publications, if any. References (referee names and contacts) Please do not submit large documents, like thesis or publications. If any additional information is required, the applicant will be
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The Department of Political Science is recruiting 1-2 Postdoctoral Fellows (SKO 1352) positions with specialisation in either comparative politics, political data science, or public administration. We are looking
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position We are offering 1-2 PhD positions with specialisation in either comparative politics, political data science, or public administration. The successful applicant(s) will be part of the research
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adaptation of LLMs for smaller languages like Norwegian, and approaches for dealing with sensitive data and explainability and trust issues. You will be part of a national initiative on Norwegian large
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distributed data processing approaches to address issues of incomplete or redundant multimodal data, dynamic updates, and scalable semantic interoperability in large-scale DPP systems. Particular emphasis will
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well as data analysis of large-scale registry data comparing mutation carriers to non-carriers. The aim of the project is to generate novel insights into human endogenous opioid function. The project offers
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encoded into adaptive immune receptors. The advent of high-throughput sequencing has enabled an unprecedented accumulation of big immune repertoire sequencing data. However, as of yet, we lack
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