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biodiversity monitoring, reporting and conservation decision-making. About the Role: This is a unique opportunity to contribute to nationally significant research with global relevance, helping position
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% superannuation About the opportunity The Daffodil Centre is a world-leading research centre, directly influencing policy decisions and real-world public health and clinical practice. The Centre is a partnership
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Job Reference: 1666967 At Curtin we are committed to embedding the voices and perspectives of Aboriginal and/or Torres Strait Islander peoples at the forefront of our decision-making to create
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solve, record actions and meet deadlines with the capability of making sound independent decisions when required. An Australian citizen and able to obtain and maintain a personal security clearance of
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of future reports, developing research instruments and contributing to evidence-based outputs that inform industry, government and community decision-making. The role will also support the development
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
Macquarie University Work in a vibrant, interdisciplinary research environment at one of Australia’s top universities Contribute to research with real societal impact, shaping fair and transparent decision
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
, interdisciplinary research environment at one of Australia’s top universities Contribute to research with real societal impact, shaping fair and transparent decision-making systems The position The Research School
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two-year fixed term Postdoctoral Fellow in Neuro-Symbolic Artificial Intelligence. This Level A position is expected to conduct research in Neuro-Symbolic AI for reasoning and decision-making
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to innovative, interdisciplinary research focused on generating trustworthy evidence and high-quality recommendations that inform policy, practice, and decision-making. Our team is undertaking research
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David Levinson , the successful candidate will contribute to the development of hybrid quantum-classical modelling approaches that support improved analysis, simulation, optimisation, and decision making