371 parallel-computing-numerical-methods-"Simons-Foundation" research jobs in Australia
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innovative methods to study digital and social media environments. Lead independent research and contribute to collaborative efforts aimed at improving the observability of digital platforms. A key focus of
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to work and/or be based at other campuses of the University About You The Research Assistant will work on an ARC-funded grant to develop new serial crystallography methods to be used at the Australian
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Drive cutting-edge AI research in traffic video analytics, developing and deploying state-of-the-art computer vision models for real-world impact. Full-time appointment on a fixed term basis for two
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, the same researcher could build hundreds or thousands of strains in parallel using our robotic platforms. The Australian Genome Foundry is capable of synthesizing complete eukaryotic chromosomes and
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research projects funded by the NCYSUR through the Australian Government, Drug and Alcohol Program. The successful candidate will contribute to high-quality research on addiction, with a strong focus on
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computer vision models for real-world impact. Full-time appointment on a fixed term basis for two years. Base salary range: Level C, $144,143 – $165,809 p.a. (pro-rata) plus 17% superannuation. About the
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for Health Economics is seeking a Level A Research Fellow to play a key role in an ongoing research program examining the effectiveness and cost-effectiveness of behavioural interventions, with a particular
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: Research: Academic Level A Work on a translational research program in the area bacterial cell wall structure and analysis Collaborate with colleagues and an external industry partner through working towards
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Application Deadline 11 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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product for transport planning. About the opportunity Lead research and development of advanced computer vision models, multi-object tracking, and post-processing methods to improve traffic video analytics