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opportunity CSIRO has collected large amounts of valuable environmental DNA (eDNA) data and now has the chance to use this data to transform how we observe and protect marine ecosystems. Towards this end, CSIRO
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analysis. Support the management of a large, multi-stakeholder research program. Contribute to advocacy through data and policy-relevant insights. The role offers flexible working arrangements, with
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methodologies and contribute to a new data product that integrates model outputs into our platform - helping us better understand environmental exposures and health outcomes. About This Opportunity This is a
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Research Associate. The Postdoctoral Research Fellow is required to carry out scientific research on an aspect of an ARC Discovery Project on “A Probabilistic Approach to Big Data-Based Industrial Process
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the solar farm industry to develop and validate methods to enhance reliability of large solar farms. The role will focus specifically on research and development for solar farm operation and maintenance
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using Large Language Models (LLM) to query and reason geospatial data. The project aims to develop a pilot decision support systems in collaboration with industry partners. The Postdoctoral Research
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 5 days ago
&PEWER_Level B_Research Fellow_CSS_2025.pdf We invite applications to join the Control, Information, Intelligence, Communications, Automation, Decision, and Autonomy (CIICADA) Lab where we explore innovative
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, Information, Intelligence, Communications, Automation, Decision, and Autonomy (CIICADA) Lab where we explore innovative research challenges in: dynamical systems differential games optimal control numerical
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disease prevention/management, pharmacoepidemiology and big data research. The successful candidate will also develop and strengthen internal and external relationships with relevant research groups and
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. Working closely with the ABI program’s leadership team, you’ll contribute to data curation, protocol development, predictive modelling, and novel analytics for large-scale neurocritical care datasets. As