Geoscience Australia
Contract for Machine Learning- based Predictive Mapping - Machine learning- based predictive mapping of rare earth oxide ( REO) concentrations in surface rock and regolith across A- As part of the Australian Critical Minerals Research and Development Hub, Geoscience Australia is undertaking the Accelerating Development of Australia s Rare Earth Resources ( ADARER) project. The project aims to accelerate the discovery, extraction and processing of rare earth element ( REE) deposits, including clay- hosted
machine learningbased predictive mapping of rare earth oxide reo concentrations in surface rock and regolith across australia machine learningbased predictive mapping of rare earth oxide reo concentrations in surface rock and regolith across australia. development of continentwide predictive grids of rare earth oxide reo concentrations in surface rock and regolith, leveraging machine learning ml and geostatistical modelling approaches. part a: regionalscale proof of concept, utilising, for example, data from the northern australia geochemical survey nags, and other appropriate covariates. part b: nationalscale predictive grids of reo concentrations in surface rock and regolith across australia utilising, for example, data from the national geochemical survey of australia ngsa, and other appropriate covariates.
Tender Close Date: