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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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) 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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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
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with the ability to articulate ideas with data Some knowledge of at least one of the following scripting/programming languages: Python, R, Java, C++, C#.Net, SQL Knowledge of machine learning techniques
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resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs. • Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell. • Ability
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the Platforms Engineering Group, you'll help build and operate modern infrastructures and systems to run large-scale machine learning and deep learning workloads. As part of the data engineering team
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of high-gain antennas and apply prior-knowledge for machine-learning enabled-synthesis. The applicant will report their research achievements at prestigious journals and conferences. The applicant shall