227 high-performance-computing-postdoc Fellowship positions at Nanyang Technological University in Singapore
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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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Research Fellow / Associate Research Fellow / Senior Analyst / Research Analyst (Maritime Security Programme) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang
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Research Analyst/Senior Analyst/Associate Research Fellow (China Programme) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang Technological University, Singapore
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skin delivery and diagnostics Perform high-quality research and disseminate findings through peer-reviewed publications and academic conferences. Initiate new collaborations with external stakeholders
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Associate Research Fellow / Research Fellow (Military Transformations Programme) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang Technological University
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with a multidisciplinary team to advance the field of embodied intelligence. Publish high-quality research in top-tier conferences and journals. Qualifications: Ph.D. in Computer Science, Robotics, AI
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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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biological molecules for optical detection. Key Responsibilities: Design, conduct, and analyze experiments related to chiral materials or optoelectronic devices. Perform high-quality research and disseminate
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, computational imaging as well as computer vision applications Key Responsibilities: The roles of this position include: Research on the cutting-edge AI algorithms for processing and modeling high-dimensional data
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germ-free and conventional mice Perform high-dimensional data analysis (single-cell/spatial transcriptomics, genomics, metabolomics, immunoprofiling) and integrate findings with clinical datasets