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Sciences (IMB), University of Oslo (UiO), Norway. The candidate shall take part in the research group on “Statistical models for high-dimensional and functional data ”, led by Associate Professor Valeria
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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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estimators, or machine learning) or other advanced statistical modelling. Advanced programming skills in Stata, R, Python or a similar software. Strong academic background with publications in international
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environment To assist MSc and PhD students To write and conceptualize scientific publications Required selection criteria A researcher position is a position in which the main objective is qualification
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archaeological sediments, with advanced climate and agent-based modelling (ABM). The project focuses on key archaeological cave sites in North and South Africa to reconstruct site-specific vegetation and
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) The applicant’s complete CV (max 2 pages) A project description (max 5 pages), including a research question, explicit and achievable aims and objectives, a brief description of relevant literature and conceptual
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for analysis of complex polygenic traits and prediction tools for precision psychiatry on longitudinal multimodal data, to fit and validate prediction models. Perform quality control and imputation of genotype
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cholangitis (PSC). Several features make PSC an intriguing model disease; more than 80% of the patients have inflammatory bowel disease, for which the link with the biliary inflammation is poorly known, and the
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variables, fixed effects for panel data, matching estimators, or machine learning) or other advanced statistical modelling.- Advanced programming skills in Stata, R, Python or a similar software.- Strong
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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