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and feedback. The successful applicant will work on designing and developing an architecture for modelling and simulating aggregated entity behaviours, in an event driven architecture paradigm, under
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acknowledged at a national level as being influential in expanding the knowledge of your relevant discipline.As the Research Fellow, you are expected to plan, develop and engage in high quality research projects
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acknowledged at a national level as being influential in expanding the knowledge of your relevant discipline. As the Research Fellow, you are expected to plan, develop and engage in high quality research
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. The tasks of the postdoctoral researcher (innovation) will include: Conduct world-class research in foundational AI, with a focus on applications in the financial sector. Develop innovative algorithms
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programs, ensuring a rigorous foundation in quantitative disciplines while maintaining strong industry and research partnerships. About The Research Fellow Opportunity This is an exciting opportunity for a
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impact. Our bold research direction is outlined in the VU Research and Impact Plan 2023-28 . Our six research priority areas include: Innovating education & future-proofing Australia’s workforce Sport
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and publish in high-quality peer-reviewed journals. Participate in applications for competitive research funding to support projects and activities. 2. Supervision and Researcher Development Contribute
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the direction of the Research and Program Director, ARIIA, the Research Fellow will be responsible for contributing to ARIIA by managing the research, implementation and evaluation and dissemination activities
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
conduct research and deliver research-led education programs spanning the entire breadth of the sciences, supported by extensive international networks and world-class facilities. This is an opportunity
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SRH’s Program 1 (Process Integration and Sustainability) and undertake a new research activity under Project 1.2.4 – Numerical Modelling of Electric Smelting Furnace Phenomena: Melting of Direct Reduced