Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
with—or documented interest in—advanced statistical methods for causal inference in observational data, model-based imputation, genetic epidemiology, or the application of machine learning to registry
-
systems, and society. In this project, we have established comprehensive databases combining nationwide Norwegian health and socioeconomic registry data, biobanks and patient-reported data. Using advanced
-
. Its primary objectives are to: Improve understanding of intra-Draupne sandbodies to support more reliable reservoir modelling. Characterize reservoirs and seals. Develop innovative exploration
-
data analysis workflow from data import/cleaning to descriptive statistics and at least one inferential model. Code must be included and clearly commented. This is required to demonstrate advanced
-
to descriptive statistics and at least one inferential model. Code must be included and clearly commented. This is required to demonstrate advanced quantitative skills. Applications without this portfolio will not
-
practical organization of study activities Data analysis using advanced statistical and epidemiological methods Writing and publishing scientific articles in peer-reviewed journals Presenting findings
-
expertise, this may involve: Neurological data collection Neuropsychological assessment of young children (<3 years) Coordination and practical organization of study activities Data analysis using advanced
-
dynamic simulation modeling. • The applicant must be able to work independently and in a structured manner. • The applicant must be able to work as a member of a multidisciplinary and multicultural
-
a strong background and interest in multi-method dynamic simulation modeling. • The applicant must be able to work independently and in a structured manner. • The applicant must be able to work
-
archaeological excavations and dating with climate modelling on the one hand and research on human minds and sociality on the other. The PhD position will be part of an interdisciplinary project with the goal