4 machine-learning-phd Fellowship positions at Singapore University of Technology & Design
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effects and their coupled interactions. In effect, this a complex problem that needs the application for AI / machine learning to enable guided, efficient and effective optimization of the CHIPLET
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, and translational grant proposals. Engage with industry and clinical partners to shape the roadmap for productization and deployment. Preferred Qualifications PhD in Electrical Engineering
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machine learning for real-world applications. Scalable Digital Health Solutions: Develop methodologies for reliable, long-term motion monitoring across diverse user groups and environments
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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