130 assistant-professor-computer-science-data-"https:"-"https:" positions at Macquarie University
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the auspices of the CSS program, including meeting program timelines and deliverables. Support the development of standardised data models to support drill-down reporting from executive-level views
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and Analytics, Data Science, Business, or Statistics or equivalent knowledge, skills, and experience with a demonstrated commitment to ongoing professional development. Experience in leading or driving
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This Research Assistant (RA) position is essential to the successful delivery of a major translational research collaboration between Macquarie University and Cochlear Ltd. The project seeks to advance our
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life sciences, health, data management, or equivalent relevant clinical trial experience, Intermediate to advanced computer skills, including MS Office, Excel, and PowerPoint, ideally including clinical
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. Research strengths span computing education, cybersecurity, AI and data science, human-computer interaction, networking and mobile systems. Our data science and AI discipline is ranked in the top 100
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of wireless electric vehicle charging. About Us Join a high-performing research team at Macquarie University to help develop next-generation wireless charging technology for electric vehicles. This industry-led
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directed to when applying. Essential Selection Criteria • Relevant qualification and/or equivalent experience. • Intermediate computer skills, including Microsoft Office and administrative or database
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Materials Engineering, Chemical Engineering, or a related discipline Demonstrated research expertise in electrochemical systems, electrocatalysis, or device prototyping Role-specific Enquiries: Professor
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meet the below selection criteria (maximum 2 pages): Completion of, or working towards, a degree or certificate in Accounting/Finance and/or relevant experience. Strong computer skills including
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of Special Education Classroom Assistant. The role is offered as Casual and may include short-term contracted work. In contributing to the learning and development of primary aged students with special