16 parallel-computing-numerical-methods uni jobs at Singapore University of Technology & Design
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possess a collaborative and entrepreneurial spirit, and be adept at applying statistical, data science and or/machine learning methods with a critical perspective in the behavioral and community health
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-centred design and AI, with a focus on how AI technologies—such as natural language processing, computer vision and sensors—can be leveraged to enhance the human condition. The candidate will contribute
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Driving technical sustainability programs to impact and achieve SUTD’s net zero goals Assess and interpret social, ecological, and business-related information relating to sustainability reporting Solving complex business problems by practicing systems thinking, or design thinking which involves...
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Software Engineering Work Serving as Software Engineer responsible for maintenance, development and deployment of iTrust's Digital Twin. Implementing robust version control systems for security and maintainability. Establishing and enforcing DevSecOps (Development, Security, and Operations)...
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to be a world-class program. Description: As an Senior Associate, your role is to work with the internal committees in taking control of the development activities and co-ordinating all interfacing
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on research tools and research methods. Becoming part of SUTD With a passion for teaching and a flair for research in Engineering Design, you will meet with colleagues from all backgrounds to collaborate and
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the university for the development and execution of the organisational growth strategy, identifying potential funding sources, oversee the implementation of these new programme initiatives, ensuring their success
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Prof. Phang Sock Yong at Singapore Management University (SMU). Requirements Master’s degree in Urban Planning, Transportation, Economics, Civil Engineering, Systems Engineering, Computer
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including, but not limited to, AI/ML, optimization, stochastic modelling, statistics, game theory, financial engineering, and simulation. Empirical, experimental, computational, and analytical research
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and methods of construction, application of innovative digital design technologies for assessment of building performance and a vision the future of architectural building design and production