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interactive / fullstack online systems Good programming skills and experience with machine learning framework Publication record is a plus Ability to work independently and in a team. We regret that only
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, machine learning, and life cycle assessment, we aim to create sustainable wearable systems to enhance human well-being. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking
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of statistics and machine learning models Proficiency in coding using Python Knowledge of biomechanics and computer vision is a plus Experience in the following skills is a plus: (1) biomechanics software (e.g
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. The position is for one year, renewable subject to satisfactory performance. Successful candidates will conduct research and develop advanced deep learning and computer vision algorithms. Candidates are expected
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research in computer vision and 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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transfer, and collaborative research efforts. Job Requirements: Bachelor's degree mathematics or artificial Intelligence. Strong fundamentals in mathematics and machine learning Knowledge and experience in
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community
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discipline, with a focus on Cyber Security, Machine Learning and/or Data Mining Strong publication records in reputable journals/conferences Excellent programming skills in e.g., Python, Matlab, C++, etc Good
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to disaster events, and mapping ocean colours and ocean topography for carbon flux estimates. We are also interested in candidates who have experience applying machine learning to InSAR and other remote sensing
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research team as a Research Engineer. The successful candidate will support ongoing research initiatives by applying advanced machine learning, NLP, and large language models (LLMs) to develop next