11 phd-position-in-image-processing Fellowship positions at UNIVERSITY OF WESTERN AUSTRALIA
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undertaking measurements and data processing, ensuring data quality control, and assisting other researchers and students in these functions Lead engagement with key industry partners, and be responsible
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opportunities for RCSWA staff and students, track, evaluate and promote student involvement in research and provide reports of student research involvement. About you Masters or PhD in a health-related field, or
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experience in independently writing high-quality and high-impact manuscripts and disseminating results in oral presentations. The ability to co-supervise and train Honours and PhD students. Position
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Honours and PhD students. Position description: PD [Postdoctoral Research Associate (Theoretical Physic)] [521127].pdf To learn more about this opportunity, please get in touch with Professor Vince
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2 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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-quality academic outputs. Build relationships with industry partners, facilitate workshops/presentations, and work effectively within a research team to deliver impactful outcomes. About you Relevant PhD
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is based at Harry Perkins Institute of Medical Research in Nedlands. The position is across the Translational Cancer Research Program and The Perkins Cancer Biobank (PCB). About the opportunity Process
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Lead cutting-edge computer vision research and deployment to advance traffic video analytics and real-world impact. Full-time appointment on a fixed term basis for two years. Base salary range
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Drive cutting-edge AI research in traffic video analytics, developing and deploying state-of-the-art computer vision models for real-world impact. Full-time appointment on a fixed term basis for two
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position within a Research Infrastructure? No Offer Description Drive cutting-edge AI research in traffic video analytics, developing and deploying state-of-the-art computer vision models for real-world