113 linked-data-"https:"-"https:"-"https:"-"https:"-"https:" "Computer Vision Center" PhD positions at Monash University in Australia
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sequencing (Oxford Nanopore), data mining of electronic medical records and use of machine learning to predict several outcomes. Among the approaches used will be the Bayesian information-theoretic
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sequencing (Oxford Nanopore), data mining of electronic medical records and use of machine learning to predict several outcomes. Among the approaches used will be the Bayesian information-theoretic
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advanced immersive visualisation and visual analytics using Augmented and Virtual Reality environments in visualising and interacting with protein structures. Required knowledge Strong computer-science and
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cooperation without individual fidelity in LLM agents.” arXiv (2026). https://arxiv.org/abs/2606.30454 Required knowledge An excellent academic record in computer science or a cognate field. An Honours degree
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cooperation without individual fidelity in LLM agents.” arXiv (2026). https://arxiv.org/abs/2606.30454 Required knowledge An excellent academic record in computer science or a cognate field. An Honours degree
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without Centralized Training Data”, https://ai.googleblog.com/2017/04/federated-learning-collaborative.html [2] “Learning with Privacy at Scale”, https://machinelearning.apple.com/research/learning
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Primary supervisor Mor Vered Co-supervisors Dana Kulic Research area Data Science and Artificial Intelligence As humans we have the ability, and even the necessity of distinguishing between orders
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Primary supervisor Mor Vered Co-supervisors Dana Kulic Research area Data Science and Artificial Intelligence As humans we have the ability, and even the necessity of distinguishing between orders
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. Nowak. “Evolution of Cooperation in Stochastic Games.” Nature 559, no. 7713 (July 2018): 246–49. https://doi.org/10.1038/s41586-018-0277-x. [3] McNamara, John M. “Towards a Richer Evolutionary Game
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security Experience with medical datasets, medical images, or clinical text Knowledge of explainable AI methods Experience with NLP, computer vision, or multimodal learning Nice to Have Background in digital