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***Register for the upcoming webinar on 10 June 2025, 10.00am - 11.00am (ACST)*** The John Monash Scholarship enables talented Australians to pursue a master’s or PhD program at any world-class
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knowledge of health economics, but this is not a requirement as training will be available throughout the PhD program. Stipend: The scholarship will be for 3.5 years and has a stipend of $35,300 (indexed
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experience with data entry and use of databases. High level computer skills, including experience with Microsoft Office suite of products in particular, spreadsheet functions for the collection and reporting
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program (PhD or MPhil) at the University of Adelaide in one of the eligible disciplines listed above; Undertaking research aligned with the fields of mineral processing, mining engineering or chemical
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applies. Casual Administration Officer opportunity available for 1-2 days per week within the School of Computer & Mathematical Sciences – a perfect role for an individual who would like to develop skills
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Office (IMO) in the Curriculum Domain in the Adelaide CBD. About the role You will work with colleagues across both institutions and senior Integration Management Office (IMO) staff to manage program and
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, Health Sciences, Nursing, or a related field. Strong communication and computer skills (e.g. MS Office, Redcap, data management/analysis programs and other electronic communications). Experience working
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The Adelaide Graduate Research School (AGRS) and 2XE are partnering to create an internship opportunity for University of Adelaide PhD students, to contribute to the organisation's sustainable energy projects. About 2XE 2XE is an award-winning South Australian consultancy committed to guiding...
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Program at SAiGENCI. This involves ensuring comprehensive research training and professional development opportunities for students, contributing to performance monitoring, identifying opportunities
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audiences. Demonstrated experience to work independently, as well as to lead projects in an interdisciplinary team. Qualifications: Postgraduate qualifications in Remote Sensing, Computer Vision, Machine