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Field
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Start Date: September 2026 Duration: 4 years (Structured PhD) Project Overview Applications are invited for a fully funded PhD studentship in Medical Biostatistics, Causal Inference and Statistical
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statistics at the Oslo Centre for Biostatistics and Epidemiology (OCBE) , Department of Biostatistics, Institute of Basic Medical Sciences (IMB), University of Oslo (UiO), Norway. The project focuses
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biostatistics Discover and characterize novel humoral factors and biomarkers involved in the regulation of metabolic homeostasis Utilize advanced quantitative proteomics platforms such as Olink and Simoa
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invite applications for a three-year PhD Research Fellowship in probabilistic machine learning and statistics at the Oslo Centre for Biostatistics and Epidemiology (OCBE) , Department of Biostatistics
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applications for a three-year PhD Research Fellowship in probabilistic machine learning and statistics at the Oslo Centre for Biostatistics and Epidemiology (OCBE) , Department of Biostatistics, Institute
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of research proposals, progress reports, and manuscripts, and require communication with multiple co-investigators and collaborators. Knowledge of the NIH grant submission process is preferred. Biostatistical
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are analyzed using advanced bioinformatic and biostatistical methodologies. As a doctoral student, you will be part of a highly collaborative and multidisciplinary research group focusing on developing precision
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qualifications The following qualifications are considered advantageous: Completed courses in epidemiology, biostatistics, research methodology, or equivalent. Education or experience in medicine with a focus on
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and biostatistical methodologies. As a doctoral student, you will be part of a highly collaborative and multidisciplinary research group focusing on developing precision medicine tools for better
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work at scientific conferences We expect MSc degree in a relevant field (e.g. bioinformatics, biology, biotechnology, biostatistics, computer science or other related fields) Good programming skills in R