330 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" "St" uni jobs at Monash University
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Goal Recognition is the task of inferring the goal of an agent from their action logs. Goal Recognition assumes these logs are collected by an independent process that is not controlled by the observer. Active Goal Recognition extends Goal Recognition by also assigning the data collection task...
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-task, we encourage you to apply. General Practice experience and intermediate to advance computer skills are desirable, but not essential. A valid driver’s license and willingness to drive to general
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. Participating in an overseas study program . This excludes the Global Immersion Guarantee. Living with a disability or medical condition. You must be registered with Disability Support Services . Benefits $3,000
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students entering the Bachelor of Commerce (Honours) program majoring in Marketing at Monash University. This scholarship provides financial support to full-time students, awarded on the basis of academic
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for computational analysis. This learning analytics project will be conducted in the context of simulation-based healthcare education, and it will support the development of effective strategies to improve teamwork
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You must meet the following criteria: Hold or about to complete an undergraduate degree or equivalent qualification recognised for admission to the Monash Juris Doctor Program. Intend to enrol
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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown promising results in building prediction models, they are typically data-centric, lack context, and work...
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Seizure prediction algorithms will be developed using the one-of-a-kind ultra-long-term human intracranial EEG dataset obtained from the Neurovista Corporation clinical trial of their Seizure Advisory System, or data from other implantable or wearable devices. This involves consideration of both...
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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...