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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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/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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to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning. We drive a culture that is
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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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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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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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: - Implement existing algorithms(forecasting, optimization,simulation) and methodologies based on cutting-edge research in data science, analytics, machine learning. 4. Data Analysis and Visualization: - Utilize
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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
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; • Scripting/computer programming knowledge is required; • Knowledge of data analytics and/or data visualization is desired; • Expertise in building simulation and/or the application of deep learning is a
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& Innovation) with the prototyping for their projects. The candidate needs to be able to teach students best engineering practices. In addition, he/she has the ability to identify problems with the students