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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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) Cleaning and managing large datasets from administrative data sources or online learning platforms Causal machine learning (e.g., double/debiased machine learning (DML), causal forests, generic ML) Learning
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/machine learning, algorithms, bioinformatics, computational complexity, compilers, computer architecture, computer networks, cybersecurity, databases, human-centered computing, operating systems
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/machine learning, algorithms, bioinformatics, computational complexity, compilers, computer architecture, computer networks, cybersecurity, databases, human-centered computing, operating systems
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, supply chain systems, and transportation systems. We also currently host methodological research in data analytics, machine learning, human systems engineering, optimization, simulation, and stochastic
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field. Preferred Qualifications: • Strong publication record in peer-reviewed journals or top-tier conferences relevant to machine learning, computational biology, virology, immunology, or structural
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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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understanding of advanced programming areas, including modern machine learning and deep learning methods (e.g., MATLAB and Python) Expertise in one or more of the following areas is preferred: mechanical
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units centered around AI and technology-enhanced learning, such as the Institute for Advanced Learning Technologies (https://ialt.education.ufl.edu ). Successful applicants for the tenure track Assistant
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Classification Title: Research Software Engineer II Classification Minimum Requirements: RSE Level I: A Bachelor’s Degree in computer or physical science, statistics, bioinformatics, analytics