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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | about 4 hours ago
Herbicides PhD Student Scholarships: Integrated Australian Shorn Wool Production Forecasting System Using Digital Twin Technology PhD Student Scholarships: Artificial Intelligence-Powered Climate Resilience
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to undertake research in the field(s) of Product Development and Artificial Intelligence, Sustainable Building Practices, and Data Analysis. The nature of the research and development activities for the research
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Charles Sturt University’s AI and Cyber Futures Institute (AICF), a cutting-edge research institute of excellence in data science, artificial intelligence, and cyber security, is poised to showcase
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Full-time enrolment in a PhD program at Curtin University Background in artificial intelligence, computer vision, or structural/civil engineering Demonstrated research experience, with evidence of
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This project aims to develop outcome measures for early detection of neurodegenerative disorders using artificial intelligence (AI) and various sensing modalities, offering personalised support to
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Intelligence, and Open Digital Manufacturing Platforms. We are seeking a talented and motivated PhD candidate to join this exciting initiative. The project, in partnership with Krueger Transport Equipment Pty
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expenses The PhD project: The proliferation of misinformation across digital platforms poses serious threats to societal trust, public health, democracy, and social cohesion. Although artificial intelligence
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selection based on academic merit and suitability to the project. Please contact the primary supervisor for more information about these projects. IITK-25023 - Artificial Intelligence-based Anomaly and
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qualifications in psychology, human factors, artificial intelligence, human computer interaction, or a discipline that could shed light on individual and team dynamics within the context of command and control
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”. Research topics on vision based techniques for vibration measurements, artificial intelligence techniques, data analysis and signal processing techniques for structural health monitoring are covered in