244 computer-science-programming-languages-"U.S"-"U.S" Fellowship positions at Nanyang Technological University
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and
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Engineering, Automation, Mechanical Engineering, Control Engineering, Mechatronics, Computer Science, AI, etc. Strong background in autonomous driving, deep learning, interaction modelling, prediction, robotics
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow. We are looking for an enthusiastic individual who will work as a
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Research Fellow with the Military Transformations Programme. The Military Transformations Programme (MTP) focuses on emerging military technology and innovation issues and their impact on strategic stability
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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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. To collaborate with interdisciplinary teams, including experts in physics, chemistry, and those who work on quantum computing hardware. To perform any other duties related to the research program. Job Requirements
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Engineering field in computer science, or related field. Strong expertise in natural language processing (NLP) and large language models (LLM) Over 1-year research experience in the above required areas
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features into the overall QKD system architecture. Job Requirements: PhD degree in Electronic & Electrical Engineering, Physics, Microelectronics, or related field. Hands-on experience in hardware security
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analysis methodologies Excellent written and oral communication skills Proficiency in programming, real-time simulation with OPAL-RT, and conducting hardware experiments Self-motivated, responsible, and able
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applies AI to tackle challenges in aquaculture and drug delivery, working at the interface of materials science, biology, and computational modeling. Key Responsibilities: Lead and execute AI-driven