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to assist in the delivery of research and monitoring projects across Northern Australia. The successful applicant will work closely with Traditional Owners. What you can bring to the role Possess either a PhD
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of their candidature, including commencement, research progress reviews, confirmation (for PhD candidates), candidature variations, thesis preparation, submission and all aspects of the examination process. The Senior
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pioneering PhD project in partnership with ANCA, a world leader in CNC grinding machines and motion control systems. Supported by the prestigious Growth SUPRA PhD Scholarship, you'll join a dynamic research
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contributions towards external activities Demonstrated expert knowledge in machine learning, AI, and bio-signal processing Experience in conducting research projects, with demonstrated high-level written and oral
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Research Areas and Capabilities: Digital Engineering, Artificial Intelligence (AI) and Human Machine-Teaming Aerostructures and Flight Science Advanced Composite and Alloy Additive Manufacturing Propulsion
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, Machine Learning, and Big Data Analysis To Apply We encourage all candidates who meet the selection criteria to apply for this role. Please submit: A current CV A cover letter specifying whether you are
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) use computer vision/machine learning to quantity athlete performance. Develop new computer vision/machine learning methods to enable measurement of sports performance. Research program would make use
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at St Lucia in the Business School. Key responsibilities will include: Engineer, prototype, validate and deploy statistical, machine learning models and analytic solutions to solve challenging problems
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telecommunications engineering, software engineering, signal and image processing, machine learning, and related fields. For information and contacts details please see the Space & Astronomy Project List linked
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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