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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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on the theory and applications of machine learning. The position emphasizes advancements in artificial intelligence and operations research, supporting Singapore's goal of using technology for societal
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the financial sector and the economy at large. This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and
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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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: · machine learning, particularly, deep learning · robot perception · preferably, prior experiences with robot manipulators and ROS Qualifications · A Bachelor’s degree with in
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Master/ Bachelor’s degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs. • Extensive experience in
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on their performance. Responsibilities: • Develop, maintain, and monitor scalable data pipelines and machine learning models across various platforms. • Design and implement robust APIs to enable seamless
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/machine learning/density-function theory calculations. Only shortlisted candidates will be contacted. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department
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, exploring methods of data analysis, cleaning and pre-processing of raw data, modelling data using Machine Learning/Deep Learning techniques, and sharing of insights to stakeholders using visualizations. Our