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collection and fieldwork. Your high-level duties will include: Take responsibility for general laboratory and field duties, including general maintenance of equipment such as computers, scales, pasture
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Application Deadline 27 Oct 2025 - 00:00 (UTC) Type of Contract Permanent 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
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Deadline 19 Oct 2025 - 00:00 (UTC) Type of Contract Permanent 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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Western Australia. We have a range of exciting opportunities available within our Computing and Software team, from entry level positions through to seasoned professionals and experts in their fields. We
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related field. Strong experience with Python, R, or C++ programming and high-performance computing (GPU/parallel workflows). A research track record including publications, presentations, or collaborative
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. The School runs a highly sought-after, APAC-accredited Master of Industrial and Organisational Psychology course. In parallel with this course, the School also offers an internationally well-regarded Master of
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of Earth and Planetary Sciences (EPS), and across schools in Curtin University. The applicant will work in parallel with the Director of Curtin’s Western Australia Organic and Isotope Geochemistry Centre (WA
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strengthening research capabilities in the region. The candidate will be part of the WAARC Postgraduate Cohort and supported through WAARC’s Postgraduate Research Scholarship Program. The candidate will work
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technologies will affect them. It is our anticipation that the work will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly
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anomalies in evolving graphs. In this research proposal, our aim is to explore the parallels of deep learning and anomaly detection in dynamic graphs. In particular we are interested to redesign deep neural