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computer science, machine learning, data science, information science, mathematics, or related disciplines. Experiences/Knowledge in deep learning, reinforcement learning, and user interface development. Proficiency
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We welcome applications for a Research Fellow position in AI/Machine Learning at the School of Mechanical and Aerospace Engineering (MAE), NTU, Singapore. The appointment is full-time and is funded
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Machine learning algorithms for data fusion Job Requirements: Master degree in Electrical and Electronic Engineering from a reputable university Working experience in related areas Knowledge and experience
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The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Project Officer. Join the team to develop insect-computer hybrid robots operation strategies. Key
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satisfactory performance. Successful candidates will be involved in a project that is related to generative design. Key Responsibilities: To independently undertake research in computer vision and deep learning
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: To independently undertake research in machine learning. To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community. To provide guidance and
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fields. Strong background in machine learning and computer vision. Experience in 3D vision is preferable. Strong publication records in top-tier machine learning or computer vision conferences/journals
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the stability and robustness of node embedding in machine learning, proposing methods for identifying some worst risks and proposing corresponding countermeasures. Key Responsibilities: Developing metrics and
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family responsibilities, or disability. Key Responsibilities: Conducting research in one or more of the following fields: Computation of PDE Numerical Analysis Generative models and Machine Learning Job
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and/or machine learning. The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit