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- University of Oslo
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application development experience Maritime operational knowledge & experiences. Large Language Model-based application development. Deep Learning techniques, Data Engineering, and Semantic Technologies Open
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genetics-oriented focus. The PhD fellow will work with large-scale longitudinal and family-based data, including genomic data, population registers, and cohort studies, to investigate how genetic
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processing An interest in the processing of the sound structure of languages Experience in the design, running and analysis of EEG experiments Strong data analysis skills, including mixed effects modelling
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programming experience to handle large-scale numerical modeling and analysis, and management of computational workflows Strong publication record relative to career stage Strong skills in scientific analysis
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Elisabeth Tønnesen via Unsplash Elisabeth Tønnesen We offer varied duties in a large, exciting and socially important organisation an ambitious work community which is developing rapidly. We strive to include
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better subsurface understanding, uncertainty quantification, and robust forecasts suitable for emissions reduction, increased energy efficiency, and recovery improvements with large amounts of data
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candidate. The overarching theme will be the interplay of training data composition (e.g. different types and selections of data) and fine-grained evaluation in the development of large language models. LTG
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candidate will strengthen and/or acquire expertise in theoretical physics, gravitational-wave data analysis, and the use and developments of large-scale computational facilities. In carrying out this research
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cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application