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acquisition and management. This role directly builds upon Ph.D. research by applying advanced 3D imaging, algorithm design, machine learning, software engineering and visualization techniques to a real-world
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strong interest in machine learning and deep learning algorithms · Research and publication experience in health outcomes research Application Materials: · CV · Cover letter · Contact information for three
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the possibility of yearly renewal subject to funding availability. Key Responsibilities • Conduct and lead research in 3D computer vision, deep learning, and AI for digital twin generation, publish findings in top
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qualified candidates to apply for a postdoctoral research position. The research will focus on statistical modeling, machine learning and trustworthy AI to develop effective and efficient algorithms
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supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. Responsibilities: -Develop and implement advanced numerical algorithms and deep learning
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support the CPP research, grant applications, and outreach. During the academic year the fellow will teach one or two courses. Position Qualifications: Required: PhD in Public Policy, Political Science
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on translational, clinical, and outcomes research. Research is conducted in collaboration with expert faculty researchers from the University of Houston College of Pharmacy. The fellow will learn in vitro
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experiences related to one or more of the following areas: embedded or mobile device security, embedded systems applications, machine learning security, user-centric security and privacy. 3. Experience and
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skills to allow for completion of assignments that cross fields of specialization. Develops leadership and management skills. The Texas Center for Learning Disorders (TCLD), in collaboration with