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-quality spectral data from wet-lab experiments is expensive and time-consuming. Furthermore, relying on a single spectral modality often leads to ambiguous generation, as different molecules can yield
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paradigms rely on a fragile "closed-world" assumption: that the unlabeled pool perfectly reflects the distribution of the labelled seed set. In real-world deployments, this is rarely true. Data streams
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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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, maintains a safe and organised workspace and contributes to data collection and routine analysis. Attendance at meetings, training and activities across Victorian campuses may also be required to support
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to detail in the analysis of numerical information and data is key to see you succeed, balanced with the ability to provide effective and efficient advice to customer queries. You will be a strong team player
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comparing model predictions of observed transient data Experience in software development with larger scientific codes; in particular, expertise in Fortran, C, Python, and/or build systems are of advantage As
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independently, exercising sound judgement and initiative Confidence working with data systems and the capacity to learn new technologies and platforms About Monash University The School of Public Health and
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and questionnaires and manage data collection and analysis. It will also ensure REDCap data integrity, prepare protocol-aligned results and support reporting, manuscripts, presentations and related
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: • Experience undertaking data analysis in R, STATA or SAS • Skills in economic evaluation, epidemiological analysis or health services research • Analytical and manuscript preparation capability with early
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data Reporting and Research Program (CORRP). Based at 553 St Kilda Road, this role contributes to a Commonwealth Government funded national clinical quality registry that monitors outcomes of procedures