23 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at Nanyang Technological University
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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moiré superlattices (twistronics). The role will focus on developing and applying theoretical models and computational quantum chemistry and machine learning methods to uncover novel properties and
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of wireless communications, signal processing and machine learning methods and algorithms for urban anomaly detection and human activity classification through 5G signal recording, processing analysis
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developing innovative solutions for integrating geophysical data and machine learning approaches for geological modelling and site characterization. The position is expected to perform independent and
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. Excellent experience in membrane and separation process modelling, module-scale desalination system modelling, including conventional modelling and machine learning based modelling. Relevant research
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and machine learning based modelling. Publish research data, prepare project progress reports. Assist in the preparation of grant proposals. Job Requirements: At least a Bachelor's degree from a
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creating original computer-generated imagery to explore how lighting and rendering shape the emotional ambience of a scene. This learning forms the foundation for further studies in Visual Effects and 3D
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General Elective and will be offered to students taking NTU EEE MSc Communications Engineering, Computer Control & Automation, Electronics, Power Engineering, and Signal Processing & Machine Learning with
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-driven Design Automation for Advanced Packaging to develop and integrate artificial intelligence methodologies into advanced packaging electrical design. The role will focus on leveraging machine learning
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the end-to-end discovery process, including data preparation, statistical analysis, and methods for extracting meaningful insights from large datasets. Core machine learning techniques such as decision tree