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applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
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. Scientific Contribution Our group has strong publication record of 100+ first or senior author top-tier (ERA ranking A*/A) journals and technical conferences in the machine learning and medical AI field. His
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Manager, Learning & Capability Job No.: 694882 Location: Mulgrave Employment Type: Full-time Duration: Continuing appointment Remuneration: $145,062 - $153,976 pa HEW Level 09 (plus 17% employer
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$103,185 + 17% superannuation About the opportunity The Learning Designer collaborates closely with the Education Services Librarians, Academic Engagement Librarians and other Learning Designers to apply a
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Fantastic casual opportunities for experienced Learning Success Advisors (Academic Language and Learning) The Learning Success Advisor is required to deliver learning support and training with a
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Apply now Job no:542953 Work type:Full Time Location:Sydney, NSW Categories:Administration Work Integrated Learning Officer (Faculty of Medicine & Health) Employment Type: Full - time (35 hours a
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and ability to contribute to process improvements Experience in higher education, and/or familiarity with Work Integrated Learning (WIL) and placement systems such as InPlace or Sonia, would be highly
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Large language models increasingly adapt using external feedback to alter inference-time behaviour, persistent state or model parameters. However, the signals that drive these changes may be noisy, biased, incomplete, delayed, correlated with the model’s own errors, or progressively underused...
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contribute to the development of innovative machine learning solutions using deep learning and multimodal foundation models. Working closely with leading researchers, you will lead the design, development, and
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With success stories ranging from speech recognition to self-driving cars, machine learning (ML) has been one of the most impactful areas of computer science. ML’s versatility stems from the wealth