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, scientific machine learning and AI for science, numerical mathematics, inverse problems and scientific computing. The successful candidate will demonstrate expertise in the design, analysis, and/or application
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applicants with a background or experience in: • Computational chemistry • Materials simulation • Scientific machine learning / AI • Molecular dynamics or DFT • Materials science or a related discipline
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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
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or environments. This approach enhances surveillance capabilities, offering a means to attribute suspects based on behavior rather than appearance. Required knowledge Python programming Machine learning background
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with one of the following doctoral research projects. 1. AI-Aided Site Reconnaissance and Rapid Assessments for Settlement Upgrading How can spatial analytics, remote sensing, and machine learning models
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networks that can be trained to do machine learning and AI tasks in a similar way to artificial neural networks. In this project you will develop machine learning theory that is consistent with the learning
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We are seeking a motivated PhD candidate to work on unsupervised music emotion tagging within the broader field of affective computing. The project aims to develop reproducible machine learning
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strong computer literacy is also required. Join the team and contribute to research supporting the ongoing monitoring and evaluation of the national maternal and infant RSV protection program. Monash
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Play is fundamental and one of the main methods children learn skills, gain independence, and practice daily tasks that lead into adulthood. TechToy Library is an innovative, co-designed initiative
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have experience supervising staff, motivating teams and fostering a strong customer‑focused culture. Advanced computer literacy and strong planning and organisational capability round out your skill set