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Field
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ongoing research and development projects related to the physics of remote sensing and imaging. 3. Design, implement, and evaluate signal processing algorithms for RF systems with emphasis on edge
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deep learning and scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest
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(UNSW), Prof. Brendan McKay (ANU) and Prof. Ian Wanless (Monash). The project aims to develop new theoretical tools to address fundamental challenges about graphs and hypergraphs with given degrees
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the gap between cutting-edge ML research and practical implementation Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run
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candidate will design and develop digital twin algorithms for computational fluid dynamics, contributing to innovative solutions in healthcare software systems. This role involves collaboration with research
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COG-MHEAR is a world-leading cross-disciplinary research programme funded under the EPSRC Transformative Healthcare Technologies 2050 Call. The programme aims to develop truly personalized
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interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific computing and machine learning. The research will emphasize both theoretical
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, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solution for application development tasks. Assist with
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. JOB SUMMARY The AI Engineer will be responsible for designing