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) Develop digital twin models for ventilators using machine learning and AI modelling techniques, b) Run simulations to obtain ventilator’s performance in varying conditions, c) Draw insights through
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Job Description Job Title : Research Associate in AI and Machine Learning Department : Saw Swee Hock School of Public Health Institution : National University of Singapore Position Type : Full-time
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undertake 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 attend
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) will be responsible to assist in developing techniques such as AI/machine learning/deep learning , to model the normal behaviours and detect anomalies in SDN. The work involves experimentation with a
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Distributed Computing Lab, linked to the DANTE group. Our focus: system research in Machine Learning and Database interactions. This six-month position, with potential renewal, involves developing a scalable
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and machine learning algorithms and methods. Key Responsibilities: Develop signal processing and machine learning algorithms and methods. Perform software/hardware implementation and empirical studies
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, Information Systems or closely related disciplines from a reputable institution of higher learning Minimum 1 year of relevant research experience in data visualization, human computer interaction, machine
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Telegram. The incumbent will be developing and applying machine learning, network analysis, and multimodal data to understand information cascades in closed messaging apps. The engineer is expected
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algorithms. Job Requirements: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Demonstrated experience in natural language processing, machine learning, and deep
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candidates will be involved in a project that is related to Image Manipulation via Diffusion Models. Key Responsibilities: To independently undertake research in computer vision and machine learning