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decades, as well as registry data linked to multiple large surveys with longitudinal individual-level data, school-level aggregated data, and genetic data. The successful candidate is expected to use state
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). The literature about the Oslo Region successions is extensive, providing a solid foundation for further research. NHM in Oslo has large collections of fossils and rocks, and field exposures are well known and
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Patient Register, the Municipal Patient Register, and the large amount of data from Statistics Norway. Additionally, the strategic initiative is connected to providing methodological support in research
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variability and predictability is an advantage. Experience with Linux clusters, and running Earth System Models, is an advantage. Experience with handling large datasets, such as CMIP data, is an advantage
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deployment. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This limits the ability to optimize energy storage use for critical
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to integrate large and complex molecular datasets with information at individual level, with specific attention to open and reproducible research, e.g., in the development of codes and algorithms. We will focus
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A Doctoral Research Fellowship in Machine Learning for Critical Healthcare is available at the Faculty of Computer Sciences, Engineering and Economics at Østfold University College (ØUC). The research
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of environmental modulation on gametic and early developmental epigenome and epitranscriptome. The project uses next- and third-generation sequencing technologies to generate the data. Zebrafish is a model organism
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to be used. The final project description will be developed in cooperation with the supervisor. Want to know more about the position? For further information about the position, please contact Dr Carly
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structured manner motivation, sense of responsibility and accountability, work capacity and enthusiasm for research via Unsplash We offer varied duties in a large, exciting and socially important organisation