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                Australia Telescope National Facility (ATNF), the only facility of its kind in the southern hemisphere. Our technology development program is the cornerstone of the ATNF and is an internationally recognised 
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                to support the Energy Systems research program. Help deliver impactful science used by decision makers in the private and public sectors. Work in a supportive environment with world class facilities. About 
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                . Working closely with project teams, architecture functions, and geographically and technically distributed teams, the M365 Technical Lead will help shape and grow organisational capabilities within 
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                Facility (ATNF), the only facility of its kind in the southern hemisphere. Our technology development program is the cornerstone of the ATNF and is an internationally recognised source of innovative radio 
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                or field including associated analysis possibly involving statistical or data analytical software. Work across teams and projects, often on a number of parallel and competing tasks. Work with discretion 
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                to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Do you have a PhD inHuman Computer Interaction, User Experience and Engagement 
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                collaboration with stakeholders and distributed teams across the portfolio, with opportunities for professional development and involvement in emerging platforms and initiatives. 
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                took on the challenge. Visit CSIRO.au for more information. The opportunity Join CSIRO’s Crops Program to lead cutting-edge research addressing crop pests and diseases through advanced genetics and 
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                real-world projects Key role within CSIRO’s Energy Systems program, contributing to shape Australia’s electricity future Join our collaborative team at CSIRO advancing net zero emissions research! About 
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                modelling and simulation of transmission and distribution networks, including benchmarking data models, developing optimal power flow algorithms, and creating state estimation and multi-energy optimisation