1,043 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Nanyang Technological University
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NTU’s technology and innovation ecosystem, we are uniquely positioned to create and share knowledge on how cutting-edge technologies can be leveraged for enterprise transformation and a smart economy
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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challenges. The ASE integrates earth and environmental life science, ecology, engineering and technology, human ecology, humanities, and the social sciences to address key issues of the environment and
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The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary
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) Build mock data generators and unit tests for isolated component validation Requirements: Minimally Bachelor in Computer Science or related fields with minimum 7 years of experience. Strong Python
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Computer Science or related fields, with over 6 years of experience. Strong experience with either PyQt5/PySide2 or React.js Prior experience visualizing real-time spatial or simulation data Deep understanding of UI
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stably Requirements: Minimally Bachelor in Computer Science or related fields with over 8 years of experience Strong background in Linux system integration, Python scripting, and inter-process
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design Prepare report and conduct presentation at seminars Job Requirements: M.Eng/MSc in Electrical Engineering, Computer Science, Statistics, or other related fields. Fresh graduates are welcome
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on analyzing data and conducting casual inferences to evaluate the implications of technology adoption and policy changes. Key Responsibilities: Conduct quantitative data analysis using statistical software (e.g
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to mentor and collaborate with Research Assistants/Associates Job Requirements: Master’s degree in Earth science, geophysics, geodesy, physics, civil/electrical engineering, natural hazards, computer vision