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Casual Senior Research Officer - Interactive Machine Learning Web Development Job No.: 697404 Location: Clayton campus Employment Type: Casual Duration: 16-weeks Remuneration: HEW 7, $65.09 per hour
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& UX team, developing and refreshing web content to enhance the user experience and performance of digital channels supporting Societal Impact, Equity and Engagement audiences. This entry-level role
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. Advise on compliance requirements such as accessibility and copyright. What we’re looking for: A relevant degree with subsequent relevant experience in web design and development; or extensive experience
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media platforms, and support the maintenance and development of related digital content and web pages. The role will involve working closely with researchers and the wider ADM+S Centre operations team
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. This role will: Create original video content that showcases themes of student experience, lifestyle, campus vibrancy and trending topics, featuring in videos/photos where necessary. Assist in the development
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to or knowledge of direct database, file, and web service-based integration patterns. Specific experience with integrating PeopleSoft Campus Solutions 9.2 and Identity Management systems is a plus. Two roles, day
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for architecting and developing highly complex systems across both front-end and back-end environments, working across a broad range of web development technologies, programming and scripting languages. The role
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practical and efficient project support for project teams and key stakeholders on the Paddington Campus. The role provides project coordination and support, reporting and analytical support, develops
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coordinating and implementing the design and production of a range of online marketing communications and web content. Strong creative thinking, visual storytelling and conceptual development capability, with
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. Coordinate multiple, concurrent projects through planning and purchasing, coordination with contractors and University partners in Estate Management. Provide and develop high level diagnostic skills among team