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event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components. About the LEAD AI fellowship programme LEAD AI is the University
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for plausible narratives of regional climate change, novel algorithms for rare event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components
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) , Department of Biostatistics, Institute of Basic Medical Sciences (IMB), University of Oslo (UiO), Norway. The candidate shall take part in the research group on “Statistical models for high-dimensional and
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the selection process. Essential qualifications Completed (or near-completed) Ph.D. in Economics, Statistics or a related quantitative discipline by the start of the position, preferably with a focus on health
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deficiencies may impact neural development and transcriptomics in rodent models. The selected candidate will be hired at the University of Oslo and join a collaboration at the Nordic EMBL Partnership institutes
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Biology and Systems Neuroscience to study how sleep deficiencies may impact neural development and transcriptomics in rodent models. The selected candidate will be hired at the University of Oslo and join a
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given significant consideration in the selection process.Essential qualifications- Completed (or near-completed) Ph.D. in economics, statistics or a related quantitative discipline by the start of
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psychiatry on longitudinal multimodal data, to fit and validate prediction models. Perform quality control and imputation of genotype data from relevant datasets, including international and Norwegian samples
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://www.lcbc.uio.no. Job description Develop quantitative models to estimate how the brain and various cognitive processes change throughout life. Process and analyze data from multiple sources, including behavioral
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Develop and apply machine learning techniques and statistical analyses, including digital twin methodology, to fit and validate prediction model. Perform quality control and imputation of genotype and