436 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs in Singapore
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: https://careers.nus.edu.sg/job/Research-Assistant-%28LKYSPP%29-%2828582%29/28582-en_GB/ Research Associate apply here: https://careers.nus.edu.sg/job/Research-Associate-%28LKYSPP%29-%2828583%29/28583
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in empirical analysis using econometric, machine-learning, and language-modeling techniques. Conducting literature reviews and synthesizing existing academic research to support ongoing projects
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and interpretable machine learning systems. The successful candidate will work on projects involving ensemble learning, large-scale data analytics, and high-performance model design, aimed at developing
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Computer Engineering, Computer Science, or a related field from a prestigious institution. Extensive experience in deep learning, AI, computer vision, 3D reconstruction algorithms, and large-scale Pre
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scientific leaders and researchers. Job responsibilities The project aims to advance the use of machine learning techniques to model and understand plasma turbulence in magnetically confined fusion plasmas
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aims to improve electrodialysis (ED) for REE separation by developing advanced membranes and integrating AI-driven optimization techniques. By combining materials innovation with machine learning
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enrichment (GO, KEGG), network analysis, genome assembly and binning, systems biology, and multi-omics integration. Apply statistical modelling, machine learning, and deep learning approaches for biomarker
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: Electrochemical process on interface phenomena Battery testing under different conditions Simulation of scaled up process. Interface with machine learning group on data base set up Battery safety testing Presenting
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in numerical analysis, partial differential equations (PDEs), and scientific computing. Solid background in machine learning theories, with specific experience in Physics-Informed Machine Learning
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operations, such as data storage, budgets, expenses, assets, and ethics approvals. Key Responsibilities: Conduct independent and collaborative research applying AI and machine learning techniques