6 machine-learning-and-image-processing positions at Swinburne University of Technology
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. • Drive initiatives that improve data quality, data governance, and predictive analytics capabilities • Lead the development and execution of AI and machine learning projects. • Build strong
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affect surface outcomes, benchmark against conventional techniques, and evaluate performance of the finished components. You’ll also delve into intelligent automation and machine learning to optimise
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the Data and AI Centre of Excellence, delivering innovative AI solutions, enabling the development of AI across the university and delivering impactful, data-driven machine learning models across
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to peer-reviewed academic publications Qualifications Completed undergraduate degree in physics, computer science, machine learning, computational modelling, or similar. About Swinburne University
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emerging and future civil engineering practices. Experience or interest in data analytics, machine learning, and digital mapping would be beneficial in supporting our vision. This is an excellent opportunity
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are seeking a highly motivated and enthusiastic candidate with a strong interest in computer vision, AI, and robotics. The ideal candidate will have solid programming skills, particularly in Python, and be well