97 parallel-and-distributed-computing-"Meta"-"Meta" positions at University of Adelaide in Australia
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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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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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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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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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& Exchange programs. The role will also support outbound programs. Activities include the management of day-to-day program administration, system development and management, implementation of marketing
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). No extensions shall be considered. Eligibility To be eligible for the Scholarships, applicants must be: Commencing a full-time Doctor of Philosophy program in engineering at the University of Adelaide
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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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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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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