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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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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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About the Centre for Quantum Technologies (CQT) The Centre for Quantum Technologies (CQT) is a research centre of excellence in Singapore. It brings together physicists, computer scientists and
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through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies. • Proficient in C++ or Python. Familiar with machine-learning tools and packages
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Job Description The Department of Electrical and Computer Engineering (ECE) at the National University of Singapore (NUS) is seeking a candidate at the rank of Assistant Professor (Tenure Track) in
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companies solve their real-world business problems by building custom AI solutions consisting of machine learning and deep learning models, and end-to-end pipelines that are ready for deployment. Our
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Job Description Research and development of machine learning models to process clinical data Development, training and testing of AI models in the local medical domain Work with the team to deploy
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innovation. Qualifications • 7+ years of industry experience in the field of data science, machine learning and AI • BS in Computer Science or related field (or equivalent industry experience
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, etc.), text analytics/mining and machine learning (anomaly detection, gradient boosted decision tree, etc.). • Experience in building and optimizing data pipelines, working with different data
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learning is a plus. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Electrical and Computer Engineering Employee Referral Eligible: No Job