308 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " research jobs in Australia
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. Base salary range: Level B, $118,150 – $139,812 p.a. plus 17% superannuation. About the area The School of Social Sciences offers a rich learning and research environment spanning social and cultural
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presentation skills, with the ability to engage effectively with diverse audiences. Highly organised with strong planning, research, and computer literacy skills to manage research projects and administrative
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: Additional 3 days of leave over the Christmas Period Access to lifelong learning and career development Discounts and entitlements Affordable on-campus parking Who you are You have a PhD in a discipline
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. Demonstrated computer skills, ie. MS office suite including spreadsheets. Experience/knowledge of qualitative research methods. Experience/knowledge of basic data science database programs, statistical software
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the Centre for IoT and Telecommunications (CIoTT) in the School of Electrical and Computer Engineering. CIoTT is internationally recognised for excellence in wireless communications and signal processing and
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health and caring in the world through an exceptional student learning experience. At the College, our research mission is about co-creating new knowledge which promotes wellbeing, and better care and
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skills and experience: Previous experience supporting a research project. Demonstrated interpersonal communication skills. Demonstrated time management skills. Proficient level of computer literacy with
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time management skills. Proficient level of computer literacy with well-developed skills in Microsoft Office 365, research software and equivalent applications. For further information about the role
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related discipline): Computer Science, Artificial Intelligence, or Machine Learning Economics or Econometrics (particularly applied micro, behavioural, or decision-focused modelling) Applied Mathematics
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ability to translate expert content into engaging, high-quality interactive learning modules. This is a casual role in which the work hours will vary from week to week depending on participant availability