574 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs in Singapore
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We are seeking a diligent research assistant to join the Laboratory of Assistant Professor Gavin Kuziel in the Synthetic Biology Translational Research Program (TRP) at the National University
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track of a research programme on wafer-scale carbon nanotube CMOS. The work runs on two tracks: process modules are developed and optimised on coupon-scale samples at NUS, then transferred as a documented
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other duties related to the research program. Job Requirements: A PhD in Computer Science or a relevant field. Strong background in deep learning, Generative AI, and multimodal learning. Strong
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experience in energy and aerospace sectors. More than 1 year of research and development experience in aerospace and defense industrial R&D fields, through a national elite engineer program at a top-tier
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in triaxial testing and constitutive modelling Excellent programming skills, such as Python, MATLAB, or other competent languages. A good record of publications in reputable peer-reviewed journals
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The Linguistics and Multilingual Studies programme at the NTU School of Humanities explores language in all its dimensions: structural, social, cognitive, and technological. We have a strong focus
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social networks, complex system, and computer programming skills would be advantageous. The project work will be highly interdisciplinary and as such there is some flexibility to accommodate expertise from
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, and mathematical data science, with an active programme at the interface of dynamical systems, machine learning, and quantum information. The position sits in the GOAL group (GeOmetry, dynAmics, and
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machine learning methods • Proficiency in transport planning software such as EMME or PTV Visum. • Programming expertise in at least one language, e.g., Python, Java, or C++. • Strong written and
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1. A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Systems Engineering, etc. 2. The candidates should have strong math, modeling, programming, and