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nationally by the GRDC Soil Borne Disease Initiative Program 2 – Mapping soilborne disease at a paddock scale . In this role, you will develop guidelines for a diagnostic pipeline using satellite imagery
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models (LLMs) and AI systems for hardware design. This is an exceptional platform to conduct impactful research in high-performance systems, build new networks with world-leading researchers, author high
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the distribution of digital inclusion in Australia and our region. The Fellow will be based at the ARC Centre at RMIT University, and will collaborate with the Centre's national and international network
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
these values and is comprised of diverse networks nurtured through deep and sustained engagement. Read more about RegNet: http://regnet.anu.edu.au/ About the opportunity We are seeking a talented and energetic
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Application Deadline 1 Feb 2026 - 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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qualification in a relevant discipline (e.g. astronomy, astrophysics, physics, or computer science). Demonstrated relevant subject/discipline knowledge and knowledge and experience in relevant research techniques
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Reference number: 25721 Term: Fixed-term, full-time basis for 2.5 years
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techniques for autonomous and data-intensive systems. The role is part of a defined program of research aimed at developing resilient and high-performance AI architectures for secure and real-time applications
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Job Reference: 1122969 About the Role: You’ll be joining an exciting ARC-funded research project developing cutting-edge computational methods to predict and understand the organic crystal
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related field. A demonstrated ability and understanding of research in the field of paleo ice sheet reconstruction. Demonstrated success in fostering and sustaining meaningful, productive networks across