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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 3 years Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation (Academic
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Interaction, Media Studies, Cultural Studies, Science and Technology Studies, Sociology, Anthropology or another relevant discipline relating to the Centre of Digital Cultures and Societies’ research programs
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 22 days ago
computational methods, sustainable engineering, and research data management (RDM). Contribute to the Hub’s training and skills development initiatives, empowering researchers to effectively utilize computational
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
ferroelectric/magnetic films using developed methodology to facilitate new materials and devices design for emerging technology applications. It is expected that the selected candidate will collaboratively work
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School of Mechanical and Mining Engineering - Faculty of EAIT Full-time, fixed-term position through to August 2027 Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
to this project. The ideal candidate will have: Strong skills in data science, user experience design, and/or web development, with the ability to apply human-centred computing/engineering methods to digital health
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Job no:516982 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Faculty of Sciences, Engineering and Technology (Level A) $81,293 - $109,307 per annum plus an employer
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chemical engineering, Chemistry, Metallurgical Engineering (Honours preferred) or a related discipline, or an equivalent combination of relevant experience and/or education/training. Demonstrated experience
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engineering. Be part of ARMI’s mission to address the unanswered questions with a multi-centre, cross disciplinary and highly focused approach, for the development of innovative clinical protocols as
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data analytics, AI or machine learning, applied to engineering challenges. Confidence working with diverse stakeholders - from industry engineers to government partners. Strong communication skills, with