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Field
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strong background in relevant areas. Key Responsibilities: To independently undertake research in computer vision and machine learning. To produce research reports and/or publications as required by
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) as Art Historical Tool Network Analysis and Cultural Data Human–AI Collaboration in Art Historical Interpretation Digital Provenance Research and Collection Histories Computer Vision for Art Historical
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generation of accessible and expressive digital musical instruments. You will design, develop, and evaluate novel music and human-computer interaction technologies that combine wearable motion capture
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Requirements: PhD in Civil/Structural Engineering, Geophysics, Seismology, Engineering Mechanics, Electrical/Computer Engineering, Applied Physics, Optical Engineering, Computer/Data Science, or a related field
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to collaborative research activities that advance the group's infrastructure monitoring agenda. Job Requirements: PhD in Civil/Structural Engineering, Engineering Mechanics, Electrical/Computer Engineering, Applied
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-site datasets collected across international collaborators. The role will involve working closely with MRI physicists, clinicians, computer scientists, engineers and mathematicians to ensure high-quality
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): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (3 ) Computer, Information, and Data Sciences (1 ) Engineering (3 ) Life Health and Medical Sciences (22 ) Mathematics and
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is highly preferable Experience in material characterization, computational engineering, programming and computer aided design will be prioritized Work independently and in a structured manner, and
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or individuals, Professional demeanor, high energy, dynamic personality and excellent communication and interpersonal skills, Proficiency with Microsoft Office and other computer applications, Proven verbal and
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utility-scale quantum computer in Brisbane. The QDA aims to pioneer the use of quantum computers for high-value decarbonisation projects such as improved battery chemistries, the development of new