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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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, 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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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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addition to developing their own research programme, we expect the successful candidate to contribute to teaching undergraduate and graduate core modules in the Psychology Programme, and modules in their areas
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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close collaboration with both internal and external stakeholders to ensure the CSL initiative’s success. Key Responsibilities: 1. Programme Leadership & Execution Lead the development and implementation
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talent source for industry. Responsibilities: A. Mentoring Programmes Strategise, manage, and scale the NBS Mentoring Programme to reach the target of mentoring 75% of the undergraduate cohort (>1,000
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team to conduct the research on development of AI models and algorithms for image processing, computational imaging as well as computer vision applications. The roles of this position include: Research
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team to conduct the research on development of AI models and algorithms for image processing, computational imaging as well as computer vision applications. The roles of this position include: Research
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both within the university and the broader IT community. Requirements: Degree in Computer Science, Computer Engineering, Software Engineering or related disciplines. Minimally 8 years of relevant IT