80 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at La Trobe University
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are committed to diversity, inclusion, and social justice, providing a workplace where all staff feel valued, respected, and supported to achieve their full potential. Learn more about our benefits: http
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PhD or equivalent accreditation and standing recognised by the University/profession as appropriate for the relevant discipline area. Demonstrated capacity to coordinate and teach the third-year History
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environments. Welcome to Bundoora campus – Please click on the video link below: https://f.io/KDo0ceng Benefits: 17% employer contributed superannuation On site childcare facilities Flexible work arrangements
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internationally. Please refer to the position description for other duties, skills, and experience required for this position. Welcome to Bundoora campus – Please click on the video link below: https://f.io
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procedures, and contribute positively to an effective team. High-level proficiency in computer software packages (Office 365 suite) including word processing, spreadsheets, databases, electronic mail, and the
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broad expertise and capabilities. The position also enhances student experiences through applied learning and supports meaningful research, innovation and engagement outcomes. The Stakeholder and
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to Bundoora campus – Please click on the video link below: https://f.io/KDo0ceng Benefits: 17% employer contributed superannuation On site child care facilities Flexible work arrangements Discounts for staff
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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position We are seeking a dedicated Lecturer to develop, coordinate and deliver a high-quality learning experience that actively engages students through tutorials and practical classes. The successful
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-Controlled Mental Health and AOD Services’ (https://www.latrobe.edu.au/arcshs/work/optimise-plus ). The Optimise+ project is a research study designed to build on the best parts of LGBTQ+ community-controlled