269 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" "U.S" Fellowship positions in Australia
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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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, 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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; ongoing learning and development opportunities to grow your career; an inclusive and supportive culture and environment to work in, both online and on campus. Who are we? Deakin is a cutting-edge public
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studies. Manage technical assistance to sample and analysis field trials. Develop trait predictions for high throughput phenotyping analysis. Produces quality research outputs consistent with discipline
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ability to provide research leadership, build teams, develop networks, and manage collaborative partnered research projects in a global environment. If successful, you can expect: A Vice-Chancellor's
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who holds the following: A PhD in a biomedical, health, or related discipline, supported by extensive professional experience across academic research, scientific writing, grant development, and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 12 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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ancient Christianity developed. We aim to provide a home for scholars at the cutting edge of our disciplines, who are able to advance scholarship of the highest quality in conversation with other
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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