-
modelling of climate-sensitive infectious diseases, with a particular emphasis on Bayesian hierarchical modeling using Integrated Nested Laplace Approximation (INLA). The work will contribute to ongoing
-
of Oslo. Job description A fully funded PhD position is available on the development of spatiotemporal statistical modelling of climate-sensitive infectious diseases, with a particular emphasis on Bayesian
-
placed on: The research project’s scientific merit, research-related relevance and innovation The applicant’s estimated academic and personal ability to carry out the project within the allotted time frame
-
The applicant’s estimated academic and personal ability to carry out the project within the allotted time frame an contribute to the main project Good co-operative skills, and the ability to successfully join in
-
The net uptake of carbon to terrestrial systems (LULUCF) in Norway is estimated to be 20-25 MtCO2e/yr or about 50% of the anthropogenic greenhouse gas emissions. However, the positive trend in the estimated
-
contemporary streaming data scenarios, such as evolving baselines and complex, data-intensive settings. The applicant must master theoretical work in the field of change and anomaly detection and estimation, as
-
of this position is to develop a massively parallel version of a computer code called Commander, and apply this to archival data from Planck HFI, new data from Simons Observatory, and simulated data from LiteBIRD, a
-
Fellowship at the University of Oslo. Project description The net uptake of carbon to terrestrial systems (LULUCF) in Norway is estimated to be 20-25 MtCO2e/yr or about 50% of the anthropogenic greenhouse gas