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opportunity for a GIS Coordinator to join our team in the Estate Directorate. Full-time, continuing basis and based at the Townsville Bebegu Yumba campus, Douglas. Remuneration - HEWL 6: $88,391 - $95,736, plus
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Job Reference: 1060352 About the Role: As a GIS Specialist, you will be responsible for providing technical expertise and ensuring the accuracy of spatial data used by PF&D and its stakeholders. You
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About You Join a dynamic and collaborative team at RMIT as a Coordinator, Agent Management! In this pivotal role, you'll support the global agent network by coordinating contracts, managing commission
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- Contact Centre Agent and or HERE Applications must be submitted as a single document comprising: · A cover letter · Your curriculum vitae/resume · Your responses addressing all selection criteria located in
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, cures and prevention strategies that have the greatest chance of success. Why Your Role Matters: The Software Engineer – AI and GIS Leader will head a team of engineers to develop and maintain LLM, NLP
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We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with the social, cognitive, and communicative skills needed to autonomously engage in meaningful, long-term...
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species' distributions. This project harnesses research in ecological and agent-based modelling, machine learning, and AI to increase the predictive power of models of species’ distribution shifts via “data
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career trajectories. The goal is to design better incentives for scientists to produce their best work. Our research group studies how groups of agents can learn to cooperate. Most of our research focuses
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Authorised by: Marketing, Faculty of IT , Monash University . Maintained by: Marketing, Faculty of IT . Copyright © 2024 Monash University. ABN 12 377 614 012 Accessibility - Disclaimer and copyright - Privacy , Monash University CRICOS Provider Number: 00008C, Monash College CRICOS Provider...
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The Multi-Agent Path Finding (MAPF) is a combinatorial problem in which agents must find a path from a start to a goal location without colliding with each other. The optimisation group at Monash is