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on leveraging machine learning and generative AI techniques for proactive mental health monitoring. The project comprises three primary research packages that address distinct aspects of the overall goal
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machine learning to identify meteorites in aerial imagery, with great success, and recovered multiple meteorites using a UAV. This project will build on this success, by extending the drone approach to new
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on leveraging advanced computer vision (CV) and deep learning (DL) techniques to develop a state-of-the-art computer-aided detection and diagnosis (CAD) system for early-stage Alzheimer's disease (AD) detection
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. The specific research areas we will explore are + Adaptive scientific deep learning methods for mathematical physics problems governed by partial differential equations (domain decomposition, adaptive quadrature
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interested in understanding how humans learn to make critical decisions in complex work systems? Do you want to be at the forefront of use-inspired basic research that shapes industries like aviation and
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bioinformatics. Understand genome architecture for polyploid plants, available ‘omic’ technology and tools associated with the analysis of multi-omic data. Willing to learn laboratory and bioinformatic techniques
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intelligence, Machine learning, and Computer vision for subsurface characterisation This project aims to develop computer vision applications for geological characterisation using state-of-the-art AI/ML methods
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, Machine Learning, and Software Engineering. The HPIS group consists of leading computer science experts and works closely with different industries, e.g., Australian Defence, Governments, Software
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courses Eligibility criteria Cybersecurity Knowledge, Coding, Network and Communication Protocols, Familiarity with Autonomous Vehicle Systems, Data Analysis and Machine Learning, Continuous Learning
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and community will be nurtured through the incorporation of cultural activities, language, and traditions into learning. This can help to promote a sense of pride and identity, which is important for