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discipline (e.g. artificial intelligence, data science, statistics, computer science, learning engineering, learning analytics or educational data mining) and experience in analysing and reporting on student
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computer skills with experience using Microsoft Word, Excel and PowerPoint; and specific experience in working with a range of data management/analytical software. Prior experience, knowledge and expertise
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(FCoE). The position supports the Forest Health and Biosecurity Program through the project GT Forest, providing expert level advice to the region on forest health and biosecurity, and shapes
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of artificial intelligence, Human-Computer Interaction, and human-centred computing. The position focuses on developing and evaluating computational models for recognizing, interpreting, and measuring human
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engineer the quantum future and further your expertise and growing research profile to achieve recognition in quantum technology and energy-efficient artificial intelligence. At this level, you will be
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-career researchers Other initiatives Education Academy school education programs Science videos and articles Immunisation, climate change and genetic modification History of Australian science News and
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including the application of artificial intelligence and machine learning. You will engage with industry, government, and research collaborators, fostering partnerships that deliver outcomes aligned with
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evaluation within health services, often in collaboration with health service partners. Experience complementary to AusHSI program areas may be an advantage. We’re offering this role as a hybrid position as
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and written communication skills in English. Competency in a range of computing skills including word processing, spreadsheets, databases, internet and email. Awareness of ethical and confidentiality
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) Established Researcher (R3) Country Australia Application Deadline 3 Apr 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded