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About The University of Texas at El Paso: The University of Texas at El Paso (UTEP) is a Carnegie R1 institution located at the U.S.-Mexico border, in the vibrant city of El Paso, Texas. UTEP is recognized nationally for its commitment to access, excellence, and impact, particularly as one of...
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professionals. This Research Educator will launch the new research stream entitled "Artificial Intelligence and Society". We seek candidates whose research applies or analyzes artificial intelligence (AI) in ways
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Classification Title: RES AST SCTST Classification Minimum Requirements: PhD in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, Machine Learning or a closely related
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applications for one Research Assistant Professor (RAP) position in Computer Science (CS) Education Research and Artificial Intelligence (AI) in Education. This position is designed to strengthen the College's
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, or artificial intelligence based approaches) and the development of sustainable pest management technologies. The successful candidate will become an integral member of the Center for Urban and Industrial Pest
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database organization Assisting in the preparation of research reports, manuscripts, and grant proposals This position will provide hands-on experience in applying artificial intelligence and computational
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, sentiment analysis and artificial intelligence (particularly LLM) API integration Familiarity with grant writing and funding acquisition is desirable. Benefits Eligibility YES FLSA Status Exempt Apply now
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analytics; Experience in integrating multi-source remote sensing data with process-based or data-driven models to characterize agricultural and ecological systems; Experience in applying advanced Artificial
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collaborate with groups using artificial intelligence approaches and next-gen chemistry. We value teamwork, creativity, resilience and patient advocacy. A two-year commitment (or beyond) is preferred. See our
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models to characterize agricultural and ecological systems; Experience in applying advanced Artificial Intelligence/Machine Learning (AI/ML) methods in agriculture (Agro-AI/ML); and Experience in