11 quantum-computing "https:" "https:" "https:" positions at Nanyang Technological University in Singapore
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topological quantum materials. Our group aims to discover new topological quantum phases of matter, explore their physics and apply them to address challenges in electronics, photonics, quantum computing
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are seeking a Senior Research Fellow (SRF
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Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and
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superlattices (twistronics). The role will focus on developing and applying theoretical models and computational quantum chemistry and machine learning methods to uncover novel properties and phenomena in low
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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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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Key Responsibilities: Assist in computationally
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topological quantum materials. Our group aims to discover new topological quantum phases of matter, explore their physics and apply them to address challenges in electronics, photonics, quantum computing
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to focus
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) position specializing in Post-Quantum Cryptography (PQC). This position focuses on advancing the field of PQC, which is critical in the era of quantum computing. Key Responsibilities Conduct pioneering
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superlattices (twistronics). The role will focus on developing and applying theoretical models and computational quantum chemistry and machine learning methods to uncover novel properties and phenomena in low