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to teach export and international trade courses to undergraduate and graduate students. The successful candidate will be responsible for developing and delivering course material for BUSMHR 4570
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to generate descriptive statistics, as well as applying advanced statistical and econometric techniques, such as multivariate regressions and machine learning. The candidate will produce well-documented and
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) analyses using multivariate, machine learning, connectomic approaches is a plus. Familiarity with EEG / event-related potentials and EMG analyses is also a plus. 10% Data Management: Implement and support
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complete CITI Training and other Computer Based Learning Trainings to gain access to necessary study platforms such as Institutional Review Board (IRB), Integrated Healthcare Information System (IHIS
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participants. Student Assistant will complete CITI Training and other Computer Based Learning Trainings to gain access to necessary study platforms such as Institutional Review Board (IRB), Integrated Healthcare
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students during computer lab sessions, providing guidance on software such as Excel, RStudio, QGIS, ArcMap, ArcPRO, eCognition, and SoloForest. Test weekly labs in advance, troubleshoot issues, and help
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to acquire vitals and monitoring hospitalized patients for changing needs. Must be able to communicate effectively with clients, administration, other technicians, and faculty. Should possess lab skills
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, along with a strong theoretical or practical background in statistical mechanics, quantum dynamics, or Machine Learning. Demonstrated experience operating and maintaining a research codebase and data
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to generate descriptive statistics, as well as applying advanced statistical and econometric techniques, such as multivariate regressions and machine learning. The candidate will produce well-documented and
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or committees. Strong data management and analytical skills. Ability to organize data and information into a succinct, effective and meaningful format for customers. Computer skills, including basic knowledge and