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Research Infrastructure? No Offer Description Based in School of Computer and Information Technology (Mawson Lakes) Full-time (1.0 FTE), 11-month fixed term contract Salary Range: $114,917 - $135,932 per
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Learning (AIML), driving the growth of Industrial AI across key areas such as natural language processing, computer vision, and machine learning. In this role, you will undertake cutting-edge research
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presentation skills, with the ability to engage effectively with diverse audiences. Highly organised with strong planning, research, and computer literacy skills to manage research projects and administrative
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students or junior staff, alongside strong computer literacy and a commitment to service excellence. This position has been designated for Aboriginal and Torres Strait Islander people only under
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presentation skills, with the ability to engage effectively with diverse audiences. Highly organised with strong planning, research, and computer literacy skills to manage research projects and administrative
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 26 days ago
machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and
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recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in modelling infectious disease dynamics, population
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
processing, computer programming, and fieldwork are encouraged to apply. The successful candidate will be a member of the Geophysics Department based at RSES. RSES is Australia’s leading academic research
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experience in the key focus areas: Emerging track record and recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with
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researchers, or clinical trainees, and supporting their development in systematic reviews, evidence synthesis, epidemiology and research methods · strong computer literacy, including statistical software