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. The latest advanced techniques in machine learning and computer vision for image content analysis will be applied to generate data for dynamic species distribution models. This data will in turn be used
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representations and texts augmented with random noise are difficult to share with models for the downstream tasks, because they need to be re-trained or fine-tuned on those representations. Lastly, DP does not
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develop individual-based models (also called agent-based models) to simulate insect-plant interactions. These are computer simulations where each individual animal is simulated in detail within a virtual
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Monash University-China Scholarship Council (CSC) Joint Scholarship This joint scholarship program seeks to attract high-achieving Chinese students to undertake their PhD at a Monash campus in
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contributing to something groundbreaking – a place where great things happen. We value difference and diversity , and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we
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: 10.1093/comjnl/bxm117 D. L. Dowe (2011a), "MML, hybrid Bayesian network graphical models, statistical consistency, invariance and uniqueness ", Handbook of the Philosophy of Science - (HPS Volume 7
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techniques for annotation, active learning (based on either deep learning or Bayesian learning), semi-supervised learning, transfer learning, imitation learning, etc., aiming to ensure the data and models
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programming skills and a good background in maths. This project would set you up for a follow-up honours project in this area. https://github.com/cormackikkert/CEGARBox https://github.com/cormackikkert
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experience holding office-bearer positions on committees and clubs. Evidence of significant active involvement within the Indigenous community. Capacity and willingness to act as an ambassador on behalf
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assistant and will soon begin my PhD journey. Am I eligible? You must be one of the following: An Australian citizen A New Zealand citizen Australian permanent resident Australian humanitarian visa holder