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, the focus of this role will be to provide a range of professional and high-quality administrative services to support the effective operation of the School of Clinical Sciences. As the successful
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Planning is the reasoning side of acting in Artificial Intelligence. Planning automates the selection and the organisation of actions to reach desired states of the world as best as possible. For many real-world planning problems however, it is difficult to obtain the full model of the world...
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Experience in developing and deployment of iOS and Android applications, APIs, or standalone desktop applications Experience working with Artificial Intelligence, Machine Learning or data science software
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of Chemistry is looking for a Post Doctoral Research Fellow to join in an exciting project Parameterisation of voltammetry in a machine learning environment. The project involves working with a multidisciplinary
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, please visit our website: www.arts.monash.edu . The School of Social Sciences is consistently ranked among the best social science schools both nationally and internationally. It is the largest school in
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Planning is the reasoning side of acting in Artificial Intelligence. Planning automates the selection and the organisation of actions to reach desired states of the world as best as possible. For many real-world planning problems however, it is difficult to obtain the full model of the world...
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., Pan, S., Aggarwal, C., & Salehi, M. (2022). Deep learning for time series anomaly detection: A survey. ACM Computing Surveys.
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We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with
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-reviewed publications, conferences, and collaborative meetings with colleagues. This is a unique opportunity to contribute to a high-impact project that blends technology with healthcare to support the well
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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain ML predictions and their uncertainty to different stakeholders, and evaluate the effect of the...