Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
-
Field
-
available on the development of spatiotemporal statistical modelling of climate-sensitive infectious diseases, with a particular emphasis on Bayesian hierarchical modeling using Integrated Nested Laplace
-
can be tackled. A video describing the project can be viewed here: https://www.youtube.com/watch?v=IzPuuBnrIDc . The successful candidate will be developing Bayesian models for estimating
-
4 PhD Fellows in Deep Learning at Visual Intelligence Research Centre and UiT Machine Learning Group
learning. Within the Visual Intelligence Research Centre, the PhD positions are affiliated with the UiT Machine Learning Group . The positions are for a period of three years. The objective of the position
-
, non-parametric methods, machine learning, hierarchical Bayesian modelling, and time- and space-modelling. The group emphasizes general methodological development, often motivated by real-world
-
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
-
); mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; and statistical machine learning. More about the position The position is