Sort by
Refine Your Search
-
at Integreat - Norwegian Centre for Knowledge-driven Machine Learning is a Centre of Excellence, funded by the Research Council of Norway. Researchers at Integreat develop theories, methods, models, and
-
modification by the small ubiquitin-like modifier SUMO. At a systems level, we found that SUMOylation of chromatin-bound proteins ensures the precision of gene expression and transcription factor dynamics during
-
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
-
. 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
-
. 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
-
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
-
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 question in the face of global
-
/Artificial Intelligence methods for automatic interpretation/classification of the RIMFAX radar images. Retrieval of geophysical parameters, such as dielectric properties, from RIMFAX data. Dissemination
-
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
-
, funded by the Research Council of Norway. Researchers at Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By combining