189 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in Singapore
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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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, 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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. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office
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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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. Develop and optimize radical coupling reactions, including reaction design, selectivity, efficiency and substrate-scope evaluation. Plan protecting-group strategies and control chemoselectivity
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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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advanced finite element simulations during water pumping. Key Responsibilities: Geotechnical Physical Modeling: Plan and execute 1-g and geotechnical centrifuge tests (utilizing a 40 g-ton centrifuge
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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
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. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics
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turbulent flow simulations. 3. Background in numerical methods and scientific computing. 4. Proficiency in Python programming and high-performance computing on modern GPU-based platforms