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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
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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
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perspective, DPPs represent a large-scale, dynamic, and heterogeneous data integration problem, where challenges include missing or noisy data, redundancy across sources, dynamic updates, and the need
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appropriate conditions, it provides a confidence set (credibility set if prediction is Bayesian) for a multivariate estimate with statistical coverage guarantees. This PhD project aims to develop new CP methods
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, dynamic, and heterogeneous data integration problem, where challenges include missing or noisy data, redundancy across sources, dynamic updates, and the need for robust semantic alignment and
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adapting to dynamic updates, while also requiring robust interpretation and linking methods to enable scalable interoperability. The SecondPass project aims to address these challenges and facilitate
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://smolang.org/ ). A digital twin is a virtual representation of a system that is continuously updated with real-time data to simulate, predict, or analyse the performance or behaviour of the twinned system