326 computer-science-programming-languages-"U.S"-"U.S" Fellowship positions in Australia
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Andalusian government postgraduate scholarships for students from Andalusia to study abroad at selected institutions. Courses eligible Doctor of Philosophy (PhD), Professional Doctorate Eligibility / selection criteria Applicants must be connected to Andalusia by birth, residence, work,...
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Diplomacy Fund - Strategic Element Closing date: Closed Grants and lecture funding Global Talent Attraction Program – Candidate Merit Pool (Round 1) Closing date: 29 August 2025 Closed Early-Career Award
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government and industries in South Australia, and overseeing Centre performance. The appointee will also be supported to establish and build a dynamic research program in machine learning or artificial
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learning research and development, particularly with a specialisation in such areas as: digital forensics, computer vision, biometrics (face or voice recognition, etc.) and natural language processing
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Systems and Safety Research (CHSSR), one of the core research centres within Australian Institute of Health Innovation, has a multi-stream program of research which focuses on investigating the outcomes and
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. We are currently seeking a Research Fellow with experience in AI and machine learning research and development, with a focus on any or all of following application areas: Computer vision Generative AI
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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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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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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
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of Project Management, but will work closely with interdisciplinary teams across the Management and Organisation Sciences, Social Sciences, Urban Studies, Engineering, and Computer Science to advance research