177 computer-algorithm-"CNRS" Fellowship positions at Nanyang Technological University
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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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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Computer Science, Software Engineering, or related field. Strong publication record in top-tier venues. Experience with LLM-based program analysis and infrastructure security. Proven ability to work collaboratively
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We are seeking a Senior Research Fellow to join the Centre for Quantum Technologies (CQT). The primary focus of this role is on advanced quantum computation, particularly in the generation of multi
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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state-of-the-art facilities to work on the following: Developing advanced path planning, search, and exploration algorithms for multi-UAVs systems in unknown and complex 3D environments. Designing
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Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust
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CINTRA is a French-Singaporean international joint laboratory, a CNRS International Research Laboratory under the French Ministry of Higher Education and Research, with three partners: the French
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cooperative, competitive, and mixed settings. Collaborative decision-making frameworks and decentralized learning algorithms. Adaptive, meta-learning, and context-aware strategies to enhance policy