20 phd-computer-artificial-machine-human Postdoctoral positions at University of Houston Central Campus
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working at the intersection of computer vision, and 3D AI for the built environment. Our goal is to transform how physical environments and infrastructure are captured, analyzed, and monitored using
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Department: Health & Human Performance Salary: Commensurate with Experience/Education Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops
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Department: Computer Science Salary: Commensurate with Experience/Education Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops
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experimentalists and theorists. Essential Duties and Responsibilities: • Perform Resonant Inelastic X-Ray Scattering synchrotron experiments in the LCLS-II qRIXS Early Science program • Perform photo-luminescence
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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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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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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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written & oral) The candidate should (1) have a PhD degree in geochemistry or a closely related discipline, (2) demonstrated excellence in research through publications in scientific journals, (3) have
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. • Publish research findings in high-impact journals and present at relevant conferences. The qualifications include: 1. Ph.D. in Computer Science, Computer Engineering, or related fields 2. Prior research
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. Additional skills for Image Science: Programming, careful data analysis, high-performance computing, shell scripting (c, bash), medical imaging Candidates with a recent PhD or those anticipating Ph.D. (all