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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images
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PhD Scholarship Develop multimodal machine learning models to predict glioblastoma treatment outcomes using imaging and clinical data. Work with real-world data from John Hunter Hospital in a
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(formerly the Australian Technology Park). Your key responsibilities will be to: Undertake original research in developing methods of cone beam computed tomography interventional imaging undertake
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and a map can be seen on a computer screen in the background] [Image changes to show a male standing next to a multi-corer and smiling at the camera] [Image changes to show four researchers standing
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(e.g., C++, Unity, Python) a background or interest in human-computer interaction, gender studies, and/or construction familiarity with qualitative and quantitative research methods. How to apply We
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Adaptation who has: a PhD in a relevant field such as Management, Organization Studies, Urban Studies, Social Sciences, Political Sciences, Computer Sciences, or Engineering, with a strong track record
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the priorities included in the AI Action Plan. About You: Relevant tertiary qualification (or equivalent experience) in Education, Computer Science, Artificial Intelligence, Data Science, or related field with
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at our Dutton Park precinct About This Opportunity The ACRF Australian Centre of Excellence in Melanoma Imaging and Diagnosis (ACEMID) is a multi-state, multi-centre initiative spanning hospitals and
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Deadline 3 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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Officer to develop your expertise and emerging research profile in polymer science/engineering. You will work with Professor Bronwyn Laycock on delivering against the research program of the Zero Net