832 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:" positions at Nanyang Technological University
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of Tokyo and Associate Professor Atsushi Nitanda from A*STAR. Key Responsibilities: Research & Development Conduct original research in deep learning, related to uncertainty quantification for large models
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: Apply Position Description School of Physical and Mathematical Sciences Nanyang Technological University, Singapore Assistant Professor/Associate Professor (Tenure Track/ Tenured) in Post-Quantum
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian You will be part of a dynamic research team working on topics relevant
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administration/support depending on research project requirement and development progress. Job Requirements: Masters / Bachelor's Degree in Electrical / Electronics / Communications Engineering / Computing from
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discipline (e.g., computer science, data science, software engineering) Proficient in Machine Learning, Deep Learning, Python, Data Science, and AI/ML Toolkits Preferred Applicants with Master’s or PhD Degree
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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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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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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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transfer activities and engagement with industry or governmental stakeholders. Requirements: PhD in Physics, Engineering, or related field. Extensive experience in Rydberg atom experiments 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