Workshop on “Bayeslands: Bayesian inference for Badlands”

Overview: In recent years, the Bayesian inference has become a popular methodology for the estimation and uncertainty quantification of parameters in geological and geophysical forward models via the posterior distribution. Badlands is a basin and landscape evolution model for simulating topography development at various space and time scales. This workshop will present  BayesLands which provides … Read more…

EarthByte Honours and Masters Projects 2018

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EarthByte has now released a list of Honours/Masters projects to be offered in 2018. These projects are outlined below. Project Title Supervisor(s) Dynamic Earth models, landscape dynamics and basin evolution in Australasia Dietmar Müller, Sabin Zahirovic, Tristan Salles, Rohit Chandra, Sally Cripps (Centre for Translational Data Science) Incorporating modern plate tectonic reconstructions into box models of the deep-time deep-Earth … Read more…