342 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in Australia
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in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality
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-renewable-energy-engineering Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical background in machine learning and deep learning. Demonstrated experience in developing
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Scholarship Smithsonian Institution: Fellowship Program Application is required. Key scholarship details Application status Open for applications Benefit amount Up to $150,000 Eligible study level
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Institutions are invited to apply for the 2025-26 ACSPRI Fellowship Program. Valued at $25,000, the fellowship will help PhD students to achieve their career goals, by providing direct financial support and
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Educational Technology in the School of Computer and Mathematical Sciences. The successful candidate will be a researcher in the use of technology to support cognitive and meta-cognitive skills of students
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 18 days ago
: PD&PEWER Level A&B Postdoctoral - Research Fellow _ CSS.pdf This position will provide opportunities to: Conduct cutting edge research in machine learning, AI and algorithms, such as but not limited
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computer vision and machine learning research group in Australia -- and contribute to world-leading research projects at the CommBank Centre for Foundational AI This postdoctoral research position is part of
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of the Equal Opportunity Act 1984 (WA). About the Role: Curtin University is seeking a full-time Program Manager, Justice Health (official title: Research Fellow) for a two-year opportunity with the option
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collaboration between industry, government, and academia. The Australian Institute for Machine Learning (AIML) at the University of Adelaide is the largest computer vision and machine learning research group in
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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The project is a collaboration with Defence Science and Technology Group, within the Combat