570 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "https:" "https:" "J" "J" research jobs in Singapore
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data analytics. Develop and refine methodologies and testing protocols for lab. Perform materials characterization for thin films. Conduct computer simulations with softwares such as ANSYS/COMSOL. Work
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, or related fields majoring in Computational Fluids Dynamics (CFD); • Well informed and knowledgeable in urban climate modelling; • Highly experienced in using environmental simulation tools, such as
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development and deployment for pilot human studies. 6. Perform other duties as assigned. Requirements 1. Ph.D. in Mechanical Engineering, Materials Science, Biomedical Engineering, Computer Science or a related
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, Atmospheric Sciences, Urban Climate, Architecture Engineering, Building Science, or related fields majoring in Computational Fluids Dynamics (CFD); Well informed and knowledgeable in urban climate modelling
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in conducting social science research, including designing and conducting surveys Mastery of word and excel programmes Able to use statistical software to analyze and organize data Responsible and
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schools, such as the School of Mechanical and Aerospace Engineering (MAE), the School of Electrical and Electronic Engineering (EEE), and the College of Computing and Data Science (CCDS). Responsibilities
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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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equipment • Conduct wind tunnel/water experiments • Conduct computational fluid dynamics (CFD) simulations • Analyze experimental and simulation data and summarize key findings and observations
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We are seeking a highly motivated Research Fellow to join our interdisciplinary team on an exciting project exploring digital knitting for healthcare wearables focused on joint motion sensing. This project aims to develop scalable, textile-based wearable devices for real-world joint motion...
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research setting for 2 years or more Proficient in Microsoft Office Excel, Powerpoint, and Word, and preferably, have foundational knowledge of one of the following statistical programmes (SPSS, STATA, SAS