238 phd-position-in-cyber-security Fellowship positions at Nanyang Technological University
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We seek a motivated Research Fellow to conduct impactful research on 3GPP security. The successful candidate will build on recent work in the field. The candidate is expected to collaborate with
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photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers. A Research Fellow position is available under Quantum
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow. The Research Fellow will take on a significant role in Asst Prof QIAO
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, supported by access to rich datasets, computing resources, and collaborative networks. The position offers opportunities to contribute to impactful projects, mentor students, and develop research portfolios
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nonlinear optical applications. The roles of this position include: Conduct theoretical and numerical research and develop theoretical models for low-dimensional material nanophotonics. Apply numerical models
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community
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high quality reports and documents that consolidate research findings Job Requirements: A PhD in Chemistry, Materials Science, or a related field. Expertise in the structure solution of nanomaterials
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community
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system, including traffic prediction, optimization, and safety enhancements. Key Responsibilities: Conduct applied research in machine learning, deep learning, and reinforcement learning for optimizing