32 computer-science-phd Fellowship positions at Nanyang Technological University in computer-science
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, specifications and presentations for internal reviews and external conferences or journals Job Requirements: Preferably PhD in computer engineering, Computer Science, Electronics Engineering or equivalent
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Requirements: PhD in microbiology, bioinformatics, computational biology or a related field. Experience on python, linux and HPC. A strong interest in interdisciplinary research. Excellent interpersonal skills
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deliverables. Job Requirements: PhD degree in Computer Science, Statistics, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal
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reports, as well as, collaborate with the research team. Job Requirements PhD in Cybersecurity, Computer Science, Information Security, Electronic or Communication Engineering, or a related discipline
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other duties related to the research program. Job Requirements: A PhD in Computer Science or a relevant field. Strong background in deep learning, Generative AI, and multimodal learning. Strong
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. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics
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to students involved in the project. To collaborate with academic and industrial partners and perform other duties related to the research program. Job Requirements: A PhD in Computer Science, Artificial
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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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. Contribute to research papers, technical reports, and presentations for internal reviews and external conferences or journals. Job Requirements: PhD degree in computer science or a related discipline. Good
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collaborative and interdisciplinary activities. Job Requirements: Preferably PhD degree in Computer Engineering, Computer Science, Applied Mathematics or equivalent. Strong academic background in machine learning