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group teaching. They will be required to undertake year level and/or unit coordination, assessment, student consultation, and supervision and mentoring of PhD students and postdoctoral fellows
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experience with programming (e.g., Python), machine learning, or educational data is beneficial, it is not a strict requirement. The project provides ample opportunities to develop these skills over time. What
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, including 14 chief investigators at seven Australian institutions, 15 partner investigators worldwide, 33 partner organisations and over 100 HDR students and postdoctoral fellows. With almost $50M investment
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investigators at seven Australian institutions, 15 partner investigators worldwide, 33 partner organisations and over 100 HDR students and postdoctoral fellows. With almost $50M investment from the ARC and
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region., including 14 chief investigators at seven Australian institutions, 15 partner investigators worldwide, 33 partner organisations and over 100 HDR students and postdoctoral fellows. With almost $50M
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methods, the goal is to enhance the ability to identify and mitigate the risks posed by fraudulent online platforms. Required knowledge Python programming Machine learning background Text analysis Image
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processing, or autonomous driving. Proficient coding skills in Python, preferably with hands-on experience on deep learning frameworks such as PyTorch, TensorFlow, or Keras. Project funding Project based
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them with existing approaches. Required knowledge Python programming Machine learning background Image analysis Video analysis