2,386 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions in Australia
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, attention to detail and willingness to learn make you someone others rely on and enjoy working with. About Us One of the leading arts and humanities faculties in Australia, Macquarie's Faculty of Arts is
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Computer Science, Applied Mathematics/Statistics, Robotics, Physics, or related discipline, with an excellent academic record. Demonstrated expertise and leadership in computer vision and machine learning research
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modules that embed AI and/or machine learning within core curricula, employing tools being deployed in legal practice in Australia and/or abroad Undertake excellent, original research in law and technology
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new approaches for a playful human-computer integration future. For more information see http://exertiongameslab.org The result will be a thesis in the field of interaction design.
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learning internship at a regional or rural location within the Commercial Radio & Audio network. Eligibility You must: be an Australian citizen OR New Zealand citizen OR an Australian permanent resident OR a
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bookings for staff. Administer security swipe card access for the Faculty Computer Laboratory and after-hours student access to buildings. Provide assistance to other student administration, teaching and
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this project, we will develop automated approach to detect the defects in AI systems, including LLMs, auto-driving systems, etc. Required knowledge - self-motivated, willing to spend time and efforts in research
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numerical methods including machine learning, in a university of similar standing to the University of Sydney. The successful candidate must have a proven ability to manage units of study with large to very
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collaboratively with colleagues, strong computer literacy with proficiency in Microsoft Office and relevant university systems, and the ability to learn new software as required. Experience working with schools
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed