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at the intersection of space-based imaging, geospatial analytics and deep learning? Look no further. The Centre for Crop and Disease Management, Curtin University, is seeking to hire a Research Associate / Research
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developing and implementing algorithms for processing, imaging or inversion of seismic data, preferably using MATLAB and/or Python. Experience or demonstrated ability in processing and analysis of surface
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Faculty of Humanities Course type Staff/Post-doctoral Citizenship Australian Citizen Australian Permanent Resident New Zealand Citizen Permanent Humanitarian Visa International Student Scholarship base
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: This fellowship is offered and administered by our partner, Global Voices. The information and timeline may be updated in accordance with their process/advice. This fellowship opportunity is an expression of
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: This fellowship is offered and administered by our partner, Global Voices. The information and timeline may be updated in accordance with their process/advice. This fellowship opportunity is an expression of
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and addressing the selection criteria stated in the advertisement (max 3 pages) If you have any queries in relation to this opportunity or the application process, please contact our careers team
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essential criteria: Experience in additive manufacturing or related advanced manufacturing processes. Strong grounding in materials science, with exposure to testing and characterisation techniques. Skills in
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electrochemical processes. About the Role: We are seeking a dedicated and detail-oriented Research Assistant to support experimental and analytical activities as part of the Heavy Industry Low-carbon Transition
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process, please contact Abby Fox at abby.fox@curtin.edu.au or our Curtin Careers team on CurtinCareers@curtin.edu.au. Applications close: Sunday 19th of October 2025. Disclaimer: Please note that there is
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the selection criteria for the role, noted above (no more than two pages). If you have any queries in relation to this opportunity or the application process, please contact our careers team