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an organization with an important societal mission, contributing to knowledge development, education, and enlightenment that promote sustainable, fair, and knowledge-based societal development. Committed colleagues
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, previous observations in the area, weather parameters like wind speed and direction, and prior knowledge about the way oil spills and natural phenomena in the ocean can appear given the observed data
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advantage. Applicants are required to possess robust empirical research knowledge within the realm of political science and be proficient in conducting quantitative analyses. Experience with large language
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. Applicants are required to possess robust empirical research knowledge within the realm of political science. They should be proficient in conducting quantitative analyses. Experience with large language
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the knowledge base for decision making through six key activities: assimilating rich Norwegian datasets into process-based models novel modelling of forest disturbances more robust modelling of soil accumulation
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models, aiming to reduce CO₂ emissions and improve resource efficiency through enhanced data-driven lifecycle management. A DPP can be viewed as a structured, machine-readable knowledge artifact
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are well known and easily accessible. The PhD candidate will carry out a thorough review of the whole succession in the light of new knowledge about global and regional trends and events, including climate
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“Embedded Sufficient Statistics” . This position is placed at Integreat - Norwegian Centre for Knowledge-driven Machine Learning is a Centre of Excellence, funded by the Research Council of Norway
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of Basic Medical Sciences, University of Oslo, Norway. Sarcomas are a heterogenous group of mesenchymal soft tissue and bone cancers comprising 1% of adult malignancies. The emerging knowledge is that a
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modelling and infectious disease dynamics. Experience working in interdisciplinary teams. Proven skills in statistical analysis and mathematical modelling tools. Excellent knowledge of programming languages