Southern Cross University
Human Resources
Request for Tender - Outsourced Payroll Services SCU Ventures
Tender Close Date:
Department Of Premier And Cabinet
Tasmanian Government Human Resources Case Management System ( RFI- HRTP- CMS01) - The Department is conducting a Request for Information ( RFI). The purpose of this RFI is to gather market intelligence on potential systems, their capabilities, implementation approaches, costs, and support models. No contract will be awarded from the Request for Information process
Tender Close Date:
Destination Nsw - Nsw
Vivid Sydney - Partnerships Coordinator - Destination NSW requires the provision of resources to assist with Commercial Partnerships needs of the Vivid Sydney team and provide support to the Commercial Partnerships Managers
Tender Close Date:
Muswellbrook Shire Council
Human Resources Software
Provision of Cloud- Based Human Capital Management System
Tender Close Date:
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:
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