17 information-visualization Fellowship research jobs at Nanyang Technological University
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Multiphysics, Abaqus), CAD software (Solidworks, AutoCAD), Visual C++, LabVIEW, Pythons, EEG, and eye-tracking systems Demonstrated expertise in the area of design, methods, modelling, and optimization
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communication skills Proficiency in scientific programming e.g., C, C++, Python etc. Competent in teamwork and presenting results in informative visuals Interpersonal skill: Ability to work under pressure, Ability to
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sustainability. It addresses disparities in access to spatial learning that affect students’ ability to interpret complex systems such as climate, energy, and ecological processes. Using a comparative approach
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-specific abilities acquired through training e.g. specific programming languages, numeric and analytical skill Competent in soft skills / general personality traits e.g. information visualization
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development and/or in C++ language development in a CFD environment; Competent in soft skills / general personality traits e.g. information visualization, interaction design Experience with energy modelling
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for machine learning Competent in soft skills / general personality traits e.g. information visualization, interaction design We regret to inform you that only shortlisted candidates will be notified. Hiring
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and oral communication skills Proficiency in Maxwell’s equations and scientific programming (e.g., Matlab, Python, C++) Competent in teamwork and presenting results in informative visuals Interpersonal
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written and oral communication skills Proficiency in specific programming languages, numeric and analytical skill Competent in soft skills / general personality traits e.g. information visualization
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School of Electrical and Electronic Engineering (EEE) is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high
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Singapore’s AI-for-Science ecosystem. Key Responsibilities: The candidate is expected to conduct the following research works Conduct independent and collaborative research on unified visual understanding