217 engineering-computation "https:" "https:" "https:" "Grenoble INP Institute of Engineering" Fellowship research jobs in Australia
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conditions set forth by your Visa. Your proposed research program must closely align with at least one of the Macquarie University Strategic Research Initiatives. Please see the Funding Guidelines in
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Tissue Engineering, Cell biology, Biomaterial/protein engineering, Biomedical, chemical engineering and to conduct cutting-edge research. The Research Assistant/Fellow will work with research teams and
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our St Lucia Campus About This Opportunity Join a world‑class research community and help shape the future of quantum computing at UQ. This is an exciting opportunity for a Postdoctoral Research Fellow
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medicine. This nationally recognised program aims to advance fundamental understanding and translational applications within the discipline. Funded by the Australian Research Council Discovery Project
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) Application Deadline 27 May 2026 - 00:00 (UTC) Country Australia 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
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Exciting new
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development, software engineering and psychology. An emerging profile in research in psychology and computer science. Evidence of publications in reputed refereed journals and presenting at conferences. Some
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community and thrive in this role, you will likely have the following skills and experience: Qualifications PhD in Computer Science, Engineering, or related discipline Strong publication record in top-tier AI
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) Based at our St Lucia Campus About This Opportunity Join a high-impact, collaborative research program at UQ as a Postdoctoral Research Fellow, working at the intersection of visualisation, visual
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electronic engineering and/or applied mathematics, in particular, in one or more areas of learning, control and optimisation of multiagent systems. Experiences in dealing with complex networks and/or variable