13 digital-image-processing 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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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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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
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seeking a postdoctoral seismologist, geomorphologist, or engineer with experience in environmental seismology and seismic data processing to investigate the seismic damping properties of trees and forests
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, single crystal diffraction, and optical spectroscopy • Experience in femtosecond laser operation and laser pumping experiments. • Good programming skills in Python or similar languages MQ: Requires
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samples and • Apply geochemical modelling techniques to the processing and interpretation of existing isotopic data. • Lead in the development and submission of high-quality research manuscripts and develop
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publication and contact information of two references in a single PDF file. The recruitment committee will begin to screen applications immediately, and the process will continue until the positions are filled
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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