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machine learning to expand the reach of quantum chemistry and address fundamental challenges in chemical science. A successful candidate will be expected to conduct innovative research at the highest level
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clinical features using machine learning and foundational modeling approaches. This work supports disease modeling across chronic kidney disease, acute kidney injury, cancer, and neurological conditions. A
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position at the rank of Lecturer/Senior Lecturer/Master Lecturer (working title Assistant/Associate/Full Instructional Professor) in Computer and Information Science and Engineering (CISE) Department
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propose to create a central hub that brings together the best and brightest to capitalize on technologies such as machine learning, artificial intelligence, natural language processing algorithms, and
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. Knowledge of standard office computer equipment and software applications; ability to maintain accurate records and reports. Ability to establish and maintain effective working relationships. Expected Salary
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. For more information on benefits, please visit UF HR Benefits and Rewards at https://benefits.hr.ufl.edu/ . Minimum Requirements: High school diploma or equivalent and three years of general accounts
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research strengths are in the areas of (1) Artificial intelligence, machine learning, natural language processing; (2) Computing foundations, algorithms, modeling, bioinformatics, visualization; (3) Human
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systems, manufacturing systems, supply chain systems, and transportation systems. Our faculty performs methodological research in data analytics, machine learning, human systems engineering, optimization
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and collaborative research focused on incorporating sensing technology in the early childhood education space. “Sensing technology” refers to tools that use sensors to acquire information about human
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postdoctoral associate positions, starting immediately. Dr. Liu has extensive experience in big data analytics, systems biology, probabilistic graphical models, causal inference and machine learning. Dr. Liu's