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for individuals living with multiple long-term conditions known as multimorbidity, and may lead to unnecessary polypharmacy. This PhD studentship aims to develop a Bayesian modelling framework to identify clusters
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13th June 2025 Languages English English English PhD candidate in Statistics at the Oslo Centre for Biostatistics and Epidemiology (OCBE) Apply for this job See advertisement About the position and
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and grant applications, including detailed statistical model power analysis, missing data and safety analysis; and supervising data collection and verification procedures across multiple platforms
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on “Statistical models for high-dimensional and functional data ”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources
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career plans. This may include the development and implementation of tasks that probe human cognition and behaviour; statistical analysis and computational modelling of behavioural and neural data; and the
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patients with mood disorders, including familiarity with clinical assessments (e.g., K-SADS, SCID) Computing and software skills in multiple platforms are helpful as well as familiarity with statistical
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-average university degree in psychology, human factors, or a related field good knowledge of methods and statistics, especially quantitative approaches strong interest in research good English skills
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health behaviors. The position may include some classroom teaching in statistics and/or research methods. The position affords opportunities for professional development and advancement, with guidance
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Researcher Senior. As a Researcher Senior, you will have expanded responsibilities, overseeing complex or multiple research projects and providing strategic direction. This professional-level role involves
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, that used multiple atmospheric [CO2 ] records from the Amazon, indicates that the region’s southeast is still a carbon sink, attributing the excess of atmospheric carbon observed to emissions from