348 algorithm-development-"Multiple"-"Prof"-"Simons-Foundation" research jobs in Australia
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at the University of Adelaide, supporting the Grains Research and Development Corporation funded Weed Management Initiative under the supervision of Professor Chris Preston. This full-time, five-year research role
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The University of Western Australia (UWA) are the four foundation partners formally collaborating to support and develop the AusSRC into a long-term national facility. About the opportunity Support the
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to support and develop the AusSRC into a long-term national facility. About the opportunity Support the Science Delivery stream of the international SKA Regional Centre Network (SRCNet) by liaising with
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ANSTO (Australia), Imperial College London (UK), and Tokamak Energy (UK), is launching a groundbreaking research program focused on developing new materials for compact tokamak reactors. We are recruiting
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 7 days ago
SynBio Facility Director. Plant SynBio Australia is seeking to change the plant synthetic biology landscape for Australia by developing and applying new technologies to fields where they are currently not
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, develop, and participate in high-quality research projects that align with the University’s key research themes. Your research will be embedded within the School’s academic environment through
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funded by the Advanced Strategic Capabilities Accelerator (ASCA) Emerging and Disruptive Technologies (EDT) program. This role will focus on developing and/or applying psychological theory- and data-driven
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, and community members – through pedagogical interventions such as Learning from Country. The Postdoctoral Research Fellow is required to support the development of a research agenda for the CNS project
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advancing the development and application of EarthBank—a national digital platform transforming how geochemical data is collected, curated, and used across research, government, and industry. We are seeking a
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: Developing and deploying machine learning models (e.g. graph neural networks, neural force fields, diffusion models) for molecular property prediction and molecular generation. Integrating quantum chemistry