814 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Nanyang Technological University in Singapore
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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degree in Computer Science, Data Science, AI, or a related field. Minimally 8 years of experience in data engineering, software development, or similar roles is preferred. Work on tasks
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The Centre for Urban Solutions is a research centre under the School of Civil and Environmental Engineering (CEE) at Nanyang Technological University. The key objective is to support efforts
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Part-Time Instructors for EEE courses The School of Electrical and Electronic Engineering (EEE) at Nanyang Technological University, Singapore, invites qualified candidates to apply for part-time
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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Established in 1981, the School of Electrical and Electronic Engineering (EEE) https://www.ntu.edu.sg/eee is one of the founding Schools of the Nanyang Technological University. Built on a culture
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Development (PCHD) Department. Job Description Part-Time Lecturers are engaged for teaching duties such as conducting lectures, tutorials and practicum supervision. Please refer to https://www.ntu.edu.sg/nie
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Globally recognised as a leading research and technology organisation, the Nanyang Environment and Water Research Institute (NEWRI) addresses national priorities through its diverse expertise in
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students involved in the project. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering
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graduate students. Job Requirements: Ph.D. in Electrical Engineering, Computer Science, Statistics, or other related fields. Familiarity with machine learning and computer vision frameworks. Good written and