90 parallel-processing-"KTH" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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anomaly with different weather conditions, which can be used to develop a data-driven model for storm surge prediction. Data Analysis: Process and analyze climate, ocean wave and coastal data to improve
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seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer Interaction (HCI) and social science methodologies to lead the user research and policy development, as part of
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degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image
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working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer Interaction (HCI) and social science
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robot data collection. Collect, process, and manage robot demonstration datasets including perception, robot states, and control data. iv. Simulation and Synthetic Data Generation Develop simulation
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Commitment One year for every year of sponsorship. Application Process Applications are open throughout the year via the various links below. Applications received before 15 January 2026 will be considered
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operation and maintenance of equipment. Job Requirements Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field. Strong programming proficiency in
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with direct industrial impact. Responsibilities The successful candidate will: Conduct cutting-edge research in Computer Vision, Video Understanding, and Multimodal AI. Design AI models for concept
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technologies to reduce emissions and enhance energy security. This research aims to develop an integrated process for converting CO2 into valuable chemicals using renewable energy. The approach combines
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, reporting, and communications with industry and research partners. Job Requirements Bachelor/Master/PhD degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, Electrical