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, population-level life course perspective on the benefits and risks of hormonal contraceptives. By integrating big data and advanced methods for modeling exposures, we will establish real-world patterns
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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as first author Strong statistical and quantitative skills, ideally including experience with large data sources Demonstrable expertise in the use of R statistical software for data management and
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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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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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. The project will leverage large-scale longitudinal data from the Adolescent Brain Cognitive Development (ABCD) Study and conduct a new longitudinal study with adolescent girls initiating HC use. For more
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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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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performance. The research will involve working with large-scale datasets and may include the use of advanced data analysis or AI-based methods to support modelling, uncertainty analysis, and systemic risk