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THE UNIVERSITY OF LIVERPOOL FACULTY OF SCIENCE AND ENGINEERING (SCE) SCHOOL OF PHYSICAL SCIENCES DEPARTMENT OF CHEMISTRY RESEARCH FELLOW IN ARTIFICIAL INTELLIGENCE FOR MATERIALS DISCOVERY (AICHEMY
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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 Level A) and $114,824.05 – $136,048.72 + 17% Superannuation (Academic Level B) Based at our St...
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position within a Research Infrastructure? No Offer Description Full time, fixed term for 2 years Work on a range of Artificial Intelligence in Education (AIED) and Educational Data Mining (EDM) projects
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Full time, fixed term for 2 years Work on a range of Artificial Intelligence in Education (AIED) and Educational Data Mining (EDM) projects Base Salary $109,263 - $121,054 + 17% superannuation About
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): project Management or Project Studies (with strong computational/AI expertise) systems Engineering or Control Systems (with applications to large-scale projects) artificial Intelligence / Machine Learning
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the field of Organisational Behaviour. Specifically, the focus will be on human-artificial intelligence (AI) collaboration and creativity as part of an ARC Discovery Grant. You will have the opportunity
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 11 days ago
opportunity for a Level B Research Fellow to join a world-renowned team of researchers in the field of Organisational Behaviour. Specifically, the focus will be on human-artificial intelligence (AI
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/AI expertise) systems Engineering or Control Systems (with applications to large-scale projects) artificial Intelligence / Machine Learning (with interest in applications to megaprojects or governance
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extraordinary ideas - and the people who discover them The Opportunity This is your chance to join a vibrant and forward-thinking team in the Department of Data Science and Artificial Intelligence, part of
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involved in supporting research to test how we can personalise treatment for depression, using new methods including artificial intelligence and technology-based interventions (e.g., digital mental health