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flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family Career development opportunities –access to exclusive internal-only
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improvement initiatives. Computer literacy with the ability to utilise a maintenance management system to effectively procure goods and services. Special Conditions This position will be responsible
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relationships Proven ability to engage and influence customers using persuasive oral and written presentation skills. Demonstrated computer literacy with proficiency in the Microsoft Suite and experience using a
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their knowledge and network within the resources industry. Mentor program Scholars are matched with an industry mentor tailored to their talents, aptitude, and interests, valued at $5,000. Annual cash grant
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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...
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will play a pivotal role in implementing the Faculty’s quality assurance framework and supporting the creation, review, and optimisation of curriculum materials. You will support the program leads’ work
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Employee Assistance Program for staff and their immediate family Career development opportunities –access to exclusive internal-only vacancies and our Study for Staff program On campus childcare options
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access to our Employee Assistance Program for staff and their immediate family Career development opportunities –access to exclusive internal-only vacancies and our Study for Staff program On campus
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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...