92 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" research jobs 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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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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an emphasis on technology, data science and the humanities. The Data Science and Artificial Intelligence programme of LKCMedicine is a cross cutting programme that aims to bridge the gap between data science
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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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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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for the university and funding agencies. Job Requirements: PhD qualification degree in Computer, Electrical or Electronic Engineering or related field At least 3 years of relevant research experience in AI security
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an emphasis on technology, data science and the humanities. The Nutrition Metabolism & Health Program is one of the flagship research programs within the school. Oue team investigates how nutrition and
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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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and empirical studies. Assist PI in various data analytics tasks. Job Requirements: MSc/MEng in Electrical Engineering, Computer Science, Statistics, or other related fields. Familiar with data