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government background checks (allow for between 4 to 8 weeks) and complete any other CSIRO requirements. Selection criteria To be eligible applicants must: Have a basic understanding of machine learning
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work experience placement and/or a paid or unpaid Work Integrated Learning (WIL) opportunity in your penultimate year participation in a mentoring program at CitiPower, Powercor and United Energy. Note
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/or a paid or unpaid Work Integrated Learning (WIL) opportunity in your penultimate year participation in a mentoring program at CitiPower, Powercor and United Energy. Note: The CitiPower Future Women
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networks that can be trained to do machine learning and AI tasks in a similar way to artificial neural networks. In this project you will develop machine learning theory that is consistent with the learning
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report on program expenditure. Computer literacy including demonstrated experience with Microsoft Office applications, in particular Word, Excel and Outlook, with the ability to learn and adapt quickly
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variable models (e.g., CLIP, GLIP, MaskCLIP). Knowledge of Transferability in Machine Learning is desirable. Knowledge in Active Learning is desirable. Programming skills and experience with dataset
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of Teaching and Learning, maintaining records and advising students and course coordinators. Assist the School’s Assessment Officer with the preparation of examinations, examination submissions, mid
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health courses, ensuring high-quality, place-based learning experiences. Additionally, you will support the development of professional courses and work-integrated learning experiences, fostering evidence
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, with attention to detail and in a timely fashion. Demonstrated proficiency with computer network systems, relevant software applications and web-based technology. Preference will be given to applicants
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to process change. Proficient computer skills and a high level of accuracy in data entry and typing, with attention to spelling, grammar and presentation. Demonstrated experience and ongoing learning with