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Field
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the associated levels of assurance, verification and acceptance criteria; developing hazard analysis methodologies tailored to AI-based systems, extending traditional approaches, such as FMEA and FTA, to address
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imaging, current–voltage measurement, thermography), including their sensitivities, artifacts, and limitations, sufficient to critically evaluate reported measurements in the literature Strong data analysis
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may include, but are not limited to: Artificial Intelligence and Machine Learning in Art History Museums, Collections and AI 3D Scanning and Digital Heritage Extended Reality (VR, AR and Mixed Reality
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of Mathematics and Statistics, Camperdown Campus Develop statistical and computational capability for multi‑omics data analysis and drug discovery Base Salary Level A/B $ $117,936 - $157,381 p.a + 17
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(PHHP) seminars, and other relevant educational programs. Data Analysis and Reporting: Prepare and distribute financial and non-financial reports to inform decision-making and project outcomes. Conduct
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Science. The post holder will have advanced knowledge and understanding of chromatographic-mass spectrometry-based analysis and possess significant laboratory experience in bioanalysis. The DCC is the only
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have limited insight into students’ processes and outcomes with AI within specific areas in higher education. This postdoc project is planned as design-based research (DBR) study based on different AI
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analysis (fMRI, MRI) to study mechanisms of brain function. Previous experience with data collection in those within the psychosis spectrum (e.g. clinical high risk/schizophrenia). Previous experience and
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measurements that can be directly compared with echocardiographic assessments. A central objective of the project is to investigate the accuracy and limitations of current echocardiographic methods
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for Fusion Energy Key Responsibilities: The project aims to investigate boundary plasma turbulence and turbulent transport in tokamak edge and scrape-off layer (SOL) plasmas using theory and three-dimensional