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Pay Grade/Pay Range: Minimum: $53,500 - Midpoint: $66,900 (Salaried E8) Department/Organization: 214271 - Mechanical Engineering Normal Work Schedule: Monday - Friday 8:00am to 5:00pm Job Summary
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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Senior Research Fellow (Human Factors / Human-Computer Interaction / Engineering / Computer Science)
Human Factors, Human-Computer Interaction, Engineering, Computer Science, or a related discipline. Experience in Human-AI Teaming, Human-Automation Interaction, or Human-Centred AI, preferably in safety
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The School of Mechanical and Aerospace Engineering (MAE) is seeking to hire a Research Fellow to work on the design, manufacturing, team building, and industrial promotion of an electrical
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A Research Fellow position (equivalent to Postdoctoral Fellow in many countries/regions) is available in the School of Civil and Environmental Engineering (CEE), Nanyang Technological University
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Public Policy (STPP) program at the Gerald R. Ford School of Public Policy has recently launched the Michigan Science, Technology, and Public Policy (MiST) Fellowship program, which embeds fellows in
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computational methods for engineering analysis. Proficiency in scientific programming, preferably using Python, MATLAB, C/C++, or comparable programming languages. Experience with advanced sampling methods