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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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undergraduate student training. Qualifications Ph.D. and minimum one year postdoctoral training in entomology or related discipline. Experience in computational modeling and artificial intelligence is desirable
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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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of the nation's elite schools of nursing, Pitt Nursing receives millions of dollars in NIH grant funding each year, and U.S. News & World Report highly ranks multiple academic programs. A complete list of rankings
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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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: The Center for Spatial Information Science and Systems (CSISS) is an interdisciplinary research center affiliated with the College of Science at George Mason University. The mission of the Center is to conduct
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Requisition Id 15854 Overview: We are seeking a research professional with fundamental knowledge in artificial intelligence (AI) who will focus on developing and applying AI algorithms to signal
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postdoctoral Research Associate (computational biology and bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Mar 2026 or later. The ideal candidate
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proficiency with basic computing packages such as MS Word and Excel and will have some familiarity with one or more of the following (Linux, MATLAB, SPM, FSL, fMRI). Strong interpersonal skills, prior research