778 parallel-and-distributed-computing-phd positions at Nanyang Technological University
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, invited talks, and outreach activities, strengthening NTU’s leadership in infrastructure security R&D. Job Requirements: PhD in Computer Science, Software Engineering, or related field. Strong publication
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AI/computing. To perform systematic investigation into the characteristics of big models, to meet the emerging requirements for AI. To set up and analyze experiments and datasets under different
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academic conferences and journals. Assist in the preparation of project proposals and technical documentation. Job Requirements: Bachelor of Engineering degree in Aerospace Engineering/Computer
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is...
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security-related projects. Disseminate research findings through conferences, invited talks, and outreach activities, strengthening NTU’s leadership in infrastructure security R&D. Job Requirements: PhD in
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contribute to grant proposals and progress reports. Collaborate with interdisciplinary teams within CQT and with external academic and industry partners. Requirements PhD in Physics, Engineering, Computer
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. assigned by the project supervisor Job Requirements: Bachelor’s degree in computer science, Information Technology, or a related field. Min. 5 Years of working experience in a similar role Proven experience
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financial issues of the SDO. Job Requirements: Competencies and Qualifications Bachelor’s Degree in Electrical Engineering/ Computer Science / Mathematics/ Physics Min. Years of Experience: 3 years
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, Computer Science, or a related field Strong interest in investment-related research High proficiency in large language models and machine-learning techniques Highly responsible, detail-oriented, and able to work
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to have semester exchange overseas by class of 2031. To provide meaningful and impactful student advisory services to NTU students to maximise opportunities for semester exchange programme and contribute