647 information-security-"https:"-"https:"-"https:"-"https:"-"https:"-"Bournemouth-University" positions at Monash University in Australia
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This Ph.D. project aims to combine causal analysis with deep learning for mental health support. As deep learning is vulnerable to spurious correlations, novel causal discovery and inference methods
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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
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threatened species and ecosystems, and to control invasive species and diseases. This requires a step-change in the data and methods used to monitor and predict organism behaviours and ultimately shifts in
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discover them The Opportunity The Department of Econometrics and Business Statistics (EBS) is seeking applications from suitably qualified Sessional Staff for engagement into secure modes of employment via
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environments—such as MOOCs, online degrees, and data-intensive Learning Management Systems—necessitate scalable solutions to provide timely, high-quality feedback. However, existing AI-powered assessment systems
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on their location or textual information. The aim of this project is to build a next-generation navigation system by addressing limitations in the current systems – such as allowing more meaningful distance measures
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
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multiple teaching periods and campuses. This position will be responsible for assisting in the preparation and maintenance of assessment timetables, ensuring accurate data entry and calendar management
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partner organisations. This is a role for a veterinarian who thrives on variety, collaboration, values ethical practice, and is motivated by continuous improvement and the 3Rs (Replacement, Reduction
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of Social Sciences is seeking a Level B research-only candidate to undertake independent and collaborative research within a multidisciplinary project, Empowering households in resource-efficient