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) Department What will I be doing and why should I apply? As the selected candidate, you will engage with data scientists, and systems engineers in research projects with emphasis on various advanced modeling
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and neurodegenerative conditions. The Crick is a place for collaboration, innovation and exploration across many disciplines. A space where the brightest minds can pursue big and bold ideas and discover
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 months ago
Office uses literature reviews to synthesize evidence from published literature to support regulatory decision-making. This ongoing project evaluates the large language model (LLM) performance for selected
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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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the financial sector and the economy at large. This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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an emphasis on technology, data science and the humanities. Our multi-disciplinary team has developed the CADENCE D-PHA (Digital Personal Health Assistant), a multi-component mobile health application designed
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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
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3 Jul 2026 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Mathematics and Statistics Research Field Mathematics Researcher Profile Recognised
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; statistical analyses including item response theory, structural equation modeling, multivariate and multi-level analyses; managing large datasets, including data collection, cleaning, maintenance, and