879 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nanyang Technological University
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will publish relevant results to cryptography conferences/journals Job Requirements: PhD in Mathematics and/or Electronics and/or Computer Science Ability to work independently and as part of a team with
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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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Academic Team as Assistant Manager/Senior Assistant Manager, Business Development and Marketing. Reporting to the Academic Lead, the incumbent shall assist in the business development, outreach and
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academia, industry, and national laboratories Job Requirements: PhD in Materials Science, Chemistry, Physics, Computer Science, or a closely related discipline. Strong experience with Density Functional
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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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epidemiology, bioinformatics, computational biology). Candidates who have successfully defended their thesis or dissertation are welcome, subject to evaluation on a case-by-case basis. Experience analyzing large
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We are seeking an administrative staff to assist the program director to run the administration for the postgraduate by coursework programme. This position offers an opportunity to gain valuable
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The Brightest Minds for Next-Generation Cutting-Edge Defence Research In collaboration with NTU, MINDEF is launching the prestigious Temasek- Nanyang Assistant Professorship for the brightest and
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the Platforms Engineering Group, you will help build and operate modern infrastructure and systems to run large-scale machine learning and deep learning workloads. You will also design, develop, and maintain
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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