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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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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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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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, 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
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EUV nanophotonics, and performing simulations to mold the flow of EUV light using nanomaterials and nanostructures. Programming of software tools Required qualifications and competencies include
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FSR@NTU is seeking an experienced Senior Research Fellow to provide technical and operational leadership for Thrust 3 of the QUASAR-CREATE programme. The position will exercise significant technical
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proficiency in educational data mining and AI for education, with the ability to handle a large volumes of data Prior experience working with LLMs, including programming, fine-tuning, evaluating, and
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to students involved in the project. To collaborate with academic and industrial partners and perform other duties related to the research program. Job Requirements: A PhD in Computer Science, Artificial