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ourselves and our communities - #ChangeIt with us. Benefits and Development Opportunities at Monash University At Monash, we believe in amplifying Indigenous voices and creating meaningful opportunities
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09 (plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be surrounded by extraordinary ideas - and the people who discover
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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, university, and stakeholders Develop project documentation, updates, and reports, while contributing to complex administrative and data-related tasks Provide expert advice and support to ensure excellence in
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science conference [1]; one of our papers is recognised as Clarivate Web of Science HighCite (top 1% of papers for the field of research) [2]; three of our algorithms (TS-Chief, InceptionTime and Rocket
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% employer superannuation) Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be surrounded by extraordinary ideas - and the people who discover them A competitive
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- $117,128 p.a. HEW 7 plus 17% employer superannuation Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be surrounded by extraordinary ideas - and the people who
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pa Level A plus 17% superannuation Amplify your impact at a world top 50 University Breakthroughs in the lab into clinical applications that transform lives Be surrounded by extraordinary ideas - and
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Automating code generation, SQL query formulation, and data preprocessing pipelines is a crucial step toward intelligent and efficient software development. This project aims to leverage large
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine learning, algorithms, and programming. Prior exposure to reinforcement learning or human-robot...