102 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"IMPRS-ML"-"Zintellect"-"St" "Prof" positions in Australia
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- Location: Wallumattagal Campus, North Ryde About the Role This position is part of the John Templeton Foundation’s project Cognition All the Way Up. The appointee will work with Dr Bourrat (Philosophy), Prof
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is working to be the state’s world-class cancer research institute, jointly resourced by the Federal Department of Health, CALHN and the University of Adelaide. Reporting to Associate Prof. Robin Hobbs
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. You will also receive either: an Australian Government Research Training Program (RTP) fees offset a QUT research degree (HDR) tuition fee scholarship. As the scholarship recipient, you will have the
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significant research program funded by the Australian Research Council Discovery Project titled “Discovering the sustainable size of cities”. This interdisciplinary project investigates how high-speed rail (HSR
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Researcher in Perovskite Solar Cell Research (Level A) to work within a research group led by Prof. Anita Ho-Baillie – John Hooke Chair of Nanoscience based at the Sydney Nano Hub and the School of Physics
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. This exciting project is funded by a Industry PhD Program. Flinders University and Bookbot.com, are partners in the program. The student will be based at Flinders University for 4 days a week. The candidate will
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is working to be the state’s world-class cancer research institute, jointly resourced by the Federal Department of Health, CALHN and the University of Adelaide. Reporting to Associate Prof. Robin Hobbs
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
Australia Application Deadline 4 Sep 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
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Application Deadline 28 Sep 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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networks. The candidate needs to have a strong background in ML programming, particularly large-scale models, and working with LLM. Familiarity with system security and anomaly detection is desirable. To be