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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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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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. About you Reporting to the Associate Professor, Mechatronics and Project Lead, you will work as a key part of the research team using your expertise in mobile robot navigation and control engineering. You
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such as supply chains, trade policy, technology competition, export controls, etc.) 5+ years experience with policymaking or policy analysis in Australia Experience working with the United States, Japan and
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with colleagues in the development of joint research projects and applications for competitive research funding support; Contribute to progressing towards transfer of knowledge, technology and practices
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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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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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/or molecular biology, biochemistry or related discipline. Experience in/with cell culture with mouse and human cancer cells, gene and protein expression techniques and generation of engineered cell
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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
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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