19 image-processing-and-machine-learning-"RMIT-University" Postdoctoral positions at University of Houston Central Campus
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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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Scale Tissue Atlas" project. -Duties include conducting research on image processing, image alignment, and instrument design and development for the funded projects. -This project will require expertise
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molecular biology, vector engineering for non-viral gene therapy, electrophysiology, Optical Coherence Tomography (OCT), fundus imaging, light and electron microscopy and protein chemistry. This position
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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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members across electrical engineering, earth science, signal processing, and machine learning to ensure methodological rigor and practical relevance. Qualifications: -Ph.D. in Electrical Engineering
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Department: Psychology Salary: Commensurate with Experience/ Education Description: Assists the principal investigator with artificial intelligence/machine learning research. 1. Designs solutions
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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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directly related to the type of work being performed. No experience is required. Additional Posting Information: NIH-funded projects on benchtop experimental/ prototype imaging system development and
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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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equipment is composed of an ultrafast laser system, optical instruments, an electron gun system, an amplified imaging assembly, an ultrahigh vacuum chamber assembly, and a number of surface science tools