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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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. Leverage library systems, data analysis tools, and scripting languages to monitor data quality, automate checks, and facilitate data remediation Explore, evaluate, and recommend AI/Machine Learning tools and
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across digital environments. You will possess experience in digital measurement, insight and reporting best practice with an understanding of machine learning and AI trends. You will possess demonstrated
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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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computer literacy across a wide range of programs and applications Enjoys learning and problem solving About us. RMIT Europe, is a creative and dynamic hub of RMIT university based in the heart of Barcelona
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ability and proficiency in the effective use of computer applications and business systems. Proficient in the use of Finance systems and ability and willingness to learn. Demonstrated ability to work in a
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position will support the Cavitation Research Laboratory (CRL) team at the Centre for Maritime Engineering & Hydrodynamics (CMEH) in completing its research and learning objectives. The position is funded by
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, and interpretation of environmental and/or ecological data. Research outputs such as technical reports and scientific papers in peer-reviewed journals. Computer skills including the use of Microsoft
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collaboration, and make a real impact on student learning and research excellence. The Technical Services team is known for its supportive culture, exceptional skills base, and strong partnerships across
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technology services across teaching, learning, meeting, and event spaces. Perform standard setup, installation, maintenance, and configuration of audio-visual equipment, systems, and associated infrastructure