223 phd-computational-linguistic Fellowship positions at Nanyang Technological University
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-world deployment in ambient intelligence and clinical informatics. Publish in top-tier conferences and journals (e.g., NeurIPS, ICML, MLSys, IEEE TPAMI, JBHI). Job Requirements: Preferably PhD in Computer
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algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or
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other duties relevant to the programme of research. Job Requirements: PhD degree or at least 8 years working experience in Computer Engineering, Computer Science, Electronics Engineering or equivalent
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of research. Job Requirements: Preferably PhD in Computer Science or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth
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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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. Perform any other duties relevant to the research programme. Job Requirements: PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive
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by using explainable AI To develop generative AI techniques to design novel biologics for cancer Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or
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. Job Requirements: Preferably PhD in Computer Science or related field. Background and familiarity with the implementation and deployment of machine learning pipelines in embedded systems (e.g., robotic
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journals such as S&P, USENIX, SIGMOD, VLDB, NeurIPS, ICML, AAAI, or ICLR. Job Requirements: A PhD degree in computer science, computer engineering, mathematics, statistics, or a related discipline with a
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Requirements: Preferably PhD in computer science or related field. Expertise in computer programming Knowledge in machine learning Proven research ability as evidenced through a portfolio of publications and/or