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Fellowship period at the University of Oslo. Job description The person hired in the position will work on theoretical control and optimization methods for a grid island powered by renewable energy, supporting
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. Potential methodological topics focus on meta-analyses and the analysis of large-scale assessment data: Methods and approaches to synthesize large data sets via meta-analyses (e.g., meta-analyses of large
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. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next generation machine learning. We do this by combining
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technological progress in our increasingly digital, data-driven world. Researchers in Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By
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garden experiments, and comparative methods. More broadly, the research will contribute to our understanding of how plants adapt to contrasting climates at the genetic level - an increasingly urgent
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/Artificial Intelligence methods for automatic interpretation/classification of the RIMFAX radar images. Retrieval of geophysical parameters, such as dielectric properties, from RIMFAX data. Dissemination
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Learning is a Centre of Excellence, funded by the Research Council of Norway. Researchers at Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge
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. Researchers at Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By combining the mathematical and computational cultures, and the
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UiO/ Anders Lien More about the position The position is tied to CREATE’s strand 3. Strand 3 aims to develop novel methods and statistical software that are tailor-made to the research questions and
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-of-the-art research methods for drawing causal inferences from non-experimental data. The successful candidate should have prior knowledge of quasi-experimental methods and, preferably, large data sources