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Field
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AIML’s expertise in machine learning research and translation with strengths in Software Engineering for AI (SE4AI) in CSIRO’s Data61. It is positioned to address fundamental responsible Al problems at a
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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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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months 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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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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Fellow will undertake research in applied LLMs, knowledge engineering and geospatial analytics and assist in the development of web application and software packages to translate the research outcomes. In
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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 | about 1 month 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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commercially orientated research projects in computer vision and machine learning. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related field. Programming