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, including digital twin methodology, to fit and validate prediction model. Perform quality control and imputation of genotype and ´omics data, as well as processing of neuroimaging data from relevant datasets
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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
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the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation until 2033. The project PI and team are also in close collaboration
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