2,383 machine-learning-"https:"-"https:"-"https:"-"https:"-"The-Open-University" positions in Australia
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on your own. Learn from experienced colleagues and develop new skills across multiple disciplines. Outstanding Benefits 20 days annual leave per year. 10 sick days annually. 5 carers’ days (non-cumulative
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expertise to our Innovation Group workshop facilities, while fostering a collaborative, hands-on learning environment. This is an exciting opportunity to share your skills, support knowledge transfer, and
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for primary care givers 17% Superannuation contribution Health and fitness membership options Accommodation and Car Hire discounts Health Insurance and Banking Novated Leasing Generous relocation
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environmentally responsible workplace What we’re looking for: A reliable, team-focused approach with a willingness to learn Physical capability to work in a tropical, outdoor environment Strong communication skills
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the work and voices of First Nations writers: Therefore, the successful candidate will spend time with First Nations community and networks to develop potential new book projects. Acquire, develop and
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and debugging - (can be obtained during project) a reasonable knowledge of LLMs Project funding Other Learn more about minimum entry requirements . Primary supervisor Yongqiang Tian Apply now Supervisor
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comprehensive courses across two Monash campuses – Clayton and Peninsula. Our high-quality tertiary degrees are delivered in a vibrant and supportive learning environment to equip students for a rewarding career
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low fidelity learning environments, in line with the teaching requirements and guidelines of the Medicine program. This role will accelerate the development and implementation of educational innovations
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with relevant work-related experience; or an equivalent combination of relevant experience and/or education and/or training. Effective computer skills and general knowledge of the Microsoft Office suite
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Using the Project-1 hiPSC platform, this project builds AI pipelines to learn disease-relevant representations from cellular images, fused with multi-omics. Models will classify diagnosis and predict