79 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs in Australia
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and knowledge in finance operations and principles. Computer Literacy: Proficient in Microsoft Suite and financial systems. Adaptability: Quick to learn new systems and processes, with a proactive and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 days ago
verification, theory of computation, formal methods, human-computer interaction. Intelligent Systems: artificial intelligence, machine learning, computer vision, natural language processing, robotics Data
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for a motivated Research Associate with skills in Machine Learning to join our team working in the School. You will contribute to UNSW’s research efforts by developing advanced machine learning models and
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activities Partner with academics to promote courses and learning pathways, building aspiration for higher education Part-time (0.8 FTE), ongoing role based in Hobart About the opportunity Aligned
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opportunities for collaborations with machine learning and bioinformatics researchers in Computing and Information Systems, biostatisticians in Population and Global Health, big data research in genomics in
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clients and stakeholders, and to build relationships with customer groups Demonstrated experience in the use of a range of computer applications and the ability to quickly learn new technologies, including
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environment. Ability to work cooperatively as a member of a team to achieve identified goals. Strong computer literacy skills with demonstrated information technology capabilities with a large range of software
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internationally by 2025. For more information about the Faculty of Engineering please refer to the Faculty website: https://www.unsw.edu.au/engineering/about-us Skills and Experience Relevant tertiary qualification
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, and professionals in Australia and globally. Our mission is to offer transformative learning experiences and pathways that open global opportunities, guided by RMIT’s values of inclusion, imagination
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evidence of international and national research collaborations and/or partnerships in the areas of computer vision, machine learning, and health data analytics. National Recognition: Demonstrated recent