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-periodic and quasi-periodic structures). Skills in tight-binding and/or machine learning skill are given higher priority. • Experience: Has at least 4 years of doing DFT-based computational studies
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to understand and improve the complex systems of liner shipping service networks, with a particular focus on service network structure, scheduling, and fleet management. Utilize machine learning techniques
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without prior experience. Ideal candidates will possess expertise in artificial intelligence (AI), machine learning (ML), bioinformatics, and biology. We strongly encourage applicants with a demonstrated
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About the Centre for Quantum Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum
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. • Integrating existing literature to propose research ideas and hypotheses, develop and implement empirical analysis using various statistical software. Methodologies used include machine learning, regression
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About the Centre for Quantum Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum
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The Role We are looking for a Research Fellow who will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on natural
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junior researchers in the team. Qualifications A PhD degree in Computer Science or related field. Evidence of good research in computer vision and deep learning. A good publication record. Mentoring
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About the Centre for Quantum Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum
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forecasts of extreme rainfall, particularly related to convection, in urban environments. • Development of deep generative machine learning models to improve radar-based rainfall nowcasting in Singapore