603 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Monash University
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research record in one or more areas of theoretical quantum science, including: Quantum computing Quantum information Quantum communication Quantum sensing Quantum optics Quantum materials Quantum energy
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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful applicant will work as part of a larger research team. Reasoning and decision making under...
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available at one time. In non-stationary environments on the other hand, the same algorithms cannot be applied...
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, infrastructure, world class teaching spaces, and international collaboration opportunities. We champion an inclusive workplace culture for our staff regardless of ethnicity or cultural background. We have also
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The Opportunity Do you thrive at the intersection of technology, data and people? We’re seeking a Business Systems and Data Officer to play a key role in supporting the implementation, transition and enhancement
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imaging centres in Australia, hosting many cutting-edge imaging equipment for biomedical imaging research. The Department of Data Science and AI, Faculty of IT is home to many world class research programs
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activities, such as the Monash Minds Student Leadership Program. I am grateful for the support this scholarship has provided. It has empowered me to embrace new opportunities with confidence and has
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additional time for pre-reading The Opportunity Monash University has a national and international reputation for exciting, ground-breaking research that improves health, solves global challenges and empowers
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University Rankings 2026. Together with our commitment to academic freedom , you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration
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This project involves model-based depth of anaesthesia monitoring using autoregressive moving average modelling and neural mass and neural field modelling of the electroencephalographic (EEG) signal. This will be achieved through frequency domain and time domain state and parameter estimation...