208 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" Fellowship research jobs at Nanyang Technological University
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We seek a highly motivated Research Fellow to reverse engineer microstructured composite materials with novel
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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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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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engineering or related field At least 1 year of relevant experience in signal processing and machine learning. Good written and oral communication skills Proficiency in ANSYS, and lab test skill Ability to work
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Electrical and Electronic Engineering, Applied Mathematics, or fields related to Computational Science and Engineering More than 5 years of research experience in the related area Experience in code
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, develop research proposals and attract additional external fundings when appropriate. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent
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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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The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University is a leading school for Sustainable Built Environment. It has over 60 faculty members and more than 1,500
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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 journals. To be involved in the mentoring of PhD/Masters/FYP students. Job Requirements: Preferably PhD in Computer Science, Electrical & Electronic Engineering, or equivalent. Background knowledge