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education focused academic, they will contribute to the education community. To be successful in this position, you’ll have as a minimum: Ability to design and deliver programs at undergraduate and post
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documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your
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The Postdoctoral Research Fellow will contribute to a range of research and research translation activities as part of an Australia Economic Accelerator funded project developing a prototype using Large Language
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record of computer programming. Experience in numerical relativity and/or numerical simulation of quantum field-detector interaction Strong written and oral communication skills. Demonstrated ability
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 11 days ago
candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. Closing date: Monday, 24 November 2025, 11:55 PM (AEST
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contributes to the education of the next generation of doctors through the UNSW Doctor of Medicine program, conducts primary and integrated care research, contributes to postgraduate teaching, supervises ILP
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developing and implementing algorithms for processing, imaging or inversion of seismic data, preferably using MATLAB and/or Python. Experience or demonstrated ability in processing and analysis of surface
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evidence-based care, advance post-ICU recovery science, and improve long-term patient outcomes. Your expertise in analytics, artificial intelligence, and data management will directly inform how critical
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models, multi-object tracking, and post-processing methods to improve traffic video analytics in complex environments. Drive benchmarking, evaluation, and deployment optimisation of AI models, ensuring
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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