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and dynamical mean-field-theory levels, metal-insulator and structural phase transitions, quantum critical points, nonlinear and anomalous responses, optical traps, quantum computation and information
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the total compensation value with benefits. Qualifications Three years Experience working in one or more of the following fields: computer science, cybersecurity, computer information systems, or related
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responsible leaders in their fields. Committed to its metropolitan research university mission, UA Little Rock is a driving force in Little Rock's thriving cultural community and a major component of the city
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major component of the city and state's growing profile as a regional leader in research, technology transfer, economic development, and job creation. Below you will find the details for the position
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major component of the city and state's growing profile as a regional leader in research, technology transfer, economic development, and job creation. Below you will find the details for the position
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, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our dedicated webpage . About the research project We will recruit a
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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environments. This project will focus on extending a Python-based workflow for compositional tuning and oxygen-vacancy formation in layered Li transition-metal oxides relevant to battery cathodes. The workflow
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, and ICCV2025. His work has been published numerous times in top computer vision conferences and journals such as CVPR (x13), ECCV (x6), ICCV (x3), IJCV (x3) and PAMI (x1). His work received a best paper
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campuses in Peoria, Quad Cities, Rockford, Springfield, and Urbana. UI Health is dedicated to the pursuit of health equity. Learn more: https://hospital.uillinois.edu/about-ui-health This position is