353 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Monash University
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in diverse, real-world environments. Both classical machine learning methods and deep learning techniques can be employed to tackle this task. This project aims to achieve several objectives: 1
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awardee. The Opportunity Generative artificial intelligence is a significant and highly visible use of machine learning which has become commonplace in a matter of a few short years. Without common
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, intelligent components learn their decision logic from data corpus in an end-to-end manner and act as a black box. Without rigorous validation and verification, intelligent solutions are error-prone especially
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small group learning at Monash Rural Health Mildura while ensuring curriculum and assessment align with contemporary clinical practice. Engagement in teaching scholarship and professional activities
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Statistical Methods, Automated Planning and/or Reinforcement Learning.
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This Masters or PhD project aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain ML predictions and
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. Highly proficient in Microsoft Office (Word, Excel) and quick to learn new systems and processes. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing
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learning to guide the self-aware learning and network formation. As such this expected to be a purely mathematical and computational project. To do this project you would need to apply for a Monash
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helping make our faculty a safe, efficient and inspiring place to work and learn. You will also play a role in supporting faculty events and projects, responding to queries and providing high-quality
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. Application of artificial intelligence/machine learning to the big data from genetics and omics is well recognized in healthcare, however, its application to the data reported everyday as part of the clinical