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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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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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glacial and environmental history of Svalbard using mainly terrestrial geological data. The project is within the Sedimentary Systems, Paleoclimates and Environments grou p. The position is for a period of
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substantial time with research partners, both FHI in Oslo, Norway, and Norkart in Kristiansand, Norway. The department has three large and active research groups in Information and Communication Technology
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An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . The positions aim is to
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information and therapeutic potential that is directly encoded into adaptive immune receptors. The advent of high-throughput sequencing has enabled an unprecedented accumulation of big immune repertoire
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3 Oct 2025 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Physics and Technology Research Field Computer science Engineering Information
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modern globalization from 1500 to 1800. Funding for fieldwork, archival research, conference attendance and publications will be available to all members of the project. More information about the project
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, Natural Language Processing, and structured knowledge representations. As a researcher within Integreat, you will contribute to developing next-generation Machine Learning for advanced data analysis