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Casual Senior Research Officer - Interactive Machine Learning Web Development Job No.: 697404 Location: Clayton campus Employment Type: Casual Duration: 16-weeks Remuneration: HEW 7, $65.09 per hour (loaded casual rate) Amplify your impact at a world top 50 University through innovative...
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, allocate resources, and hit strict deadlines. Advanced analytical, numeracy, and problem-solving skills, with exceptional computer literacy (specifically Microsoft Excel and reporting software). Excellent
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions
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Audit Program (ANZRAP) and the Chronic Respiratory Disease Research Group, you will support high-impact research, collaborate with clinicians and healthcare leaders, and help generate evidence that
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field” imaging techniques to solve many important problems in biology and change clinical practice in respiratory medicine. Our ongoing research program involves developing new imaging technologies
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advice and user support, deliver training, develop methods, troubleshoot instrumentation and ensure high-quality data to support world-class research. You will also support X-ray Computed Tomography (XCT
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systems. The fast growth, practical achievements and the overall success of modern approaches to AI guarantees that machine learning AI approaches will prevail as a generic computing paradigm, and will find
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management, distributed computing, and energy-aware computing, preparing them for impactful roles in industry and research. Key Components and Example Scenarios Predictive Resource Allocation and Load
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of points for your degree are completed (excludes OSHC, accommodation and living costs). Participation in the Campus Ambassador Program from your second semester of study. Invitation to apply for a place in
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potential remedial approaches - will be explored in this research program and they include (as examples): variability in staining outcomes across different stains and different sites (even within a given