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leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models—expressivity
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guidance to PhD candidates within the discipline when necessary. Contribute to the development of novel models, techniques, and methodologies. Engage in administrative duties within the university
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quality modelling approaches to analyse the flow interactions between sewer discharge of surface runoff, as well as the dynamics of pollutants and pathogen propagations associated with water movements. The
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. Additional Information Duration: 2-3 years (renewable yearly). Extensions are also allowable, pending satisfactory performance. For questions regarding the position, please email Arvind Rao at ukarvind
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community
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. This is a grant funded position. Key Responsibilities Designing and executing cutting-edge experiments using cell lines, ex vivo cultures, and genetic mouse models. Lead collaborative projects, contributing
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engineering. About the opportunity Play a key role in advancing the AuScope Geochemistry platform ‘EarthBank’ at UWA. Contributing to new and existing analytical datasets and data models, improving
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pioneering, cross-disciplinary research that integrates AI, energy systems and advanced mathematics. This position aims to advance the next generation of battery modelling and control strategies by combining
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and values diversity acting as a role model and fostering an inclusive working culture Person Specification Essential: PhD (or near completion) in Computer Science, Data Science, AI, or a related field
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, and interpreting models, Analyzing genetics data (e.g. GWAS, eQTLs), including predicting variant effects, stratifying patients, identifying desired patients for recall, Designing, synthesizing, and