6 phd-data-mining Fellowship positions at Singapore University of Technology & Design
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system performance in physiologically relevant settings. Explore and implement AI/ML tools for system optimization, data-driven control, or high-throughput analysis. Contribute to publications, IP filings
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students’ engagement and innovation in response to Gen-AI interventions. Collect and analyze quantitative and qualitative data using statistical tests (e.g., paired t-tests, ANOVA) and thematic/content
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Fuzzing) in IoT (Wireless) networked systems; Research on IoT honeypot and threat intelligence. Qualification & Experience: PhD degree in Computer Science, Computer Engineering, or related field
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research team consisting of electrical, chemical, and biomedical engineers, chemists, and materials scientists. Qualification, Skills, and Experiences: PhD (for postdocs, preferred) or M.S./B.S. (for strong
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wearable devices using digital knitting and advanced fabrication techniques. Motion Sensing & Data Processing: Implement and optimize algorithms for joint motion tracking, integrating signal processing and
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microelectronics / materials science / electronic materials as well as experience in applying AI / machine learning techniques (both data and image-based) on interesting use cases as well as strong programming