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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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Circuit Boards. More precisely, it will focus on developing an efficient processing route to dismantle efficiently as well as sort resulting electronic components into fraction as enriched as possible in
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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any discipline of cancer research • Excellent track record of research accomplishments • Keen to embark on exciting and innovative projects in experimental and/or bioinformatics laboratories
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chemists to develop a commercially viable low emission fuel process. Key Responsibilities: Publish research results in high-quality international peer-reviewed journals. Participate in the daily running and
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, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system
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accelerating its practical adoption in construction and beyond. The Research Fellow is expected to: • Assist the design and lead the commissioning and operation of the new metal additive manufacturing
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Digital Aviation Corporate Laboratory (Corp Lab) is seeking a highly experienced and driven Researcher/ Project Manager to oversee proposal development, grant submission processes, and end-to-end project
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and education delivery, ensuring alignment with the Centre’s strategic priorities Operations and programme coordination Coordinate operational processes that underpin the successful implementation
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forward the use of phase field models in earthquake rupture dynamics and fluid-driven fracture processes. The project bridges applied geophysics and computational mechanics, and is jointly developed with