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psychometric property analyses for all constructed scales. Implement analytic approaches including but not limited to graphical analyses of data, multiple linear regression, logistic regression, methods
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computational methods. The incumbent will serve as the library's lead technical expert on data assessment and analysis, focusing on how data quality, structure, and bias function within AI models to ensure
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experimental methods. Develop and apply methods for demultiplexing, normalization/QC, effect-size estimation, biological inference, and predictive modeling. Contribute to biological manuscripts and methods
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experimental methods in non-human animal subjects to understand how mechanisms of the brain give rise to the mind. These methods could include ethology, neurophysiology, optogenetics, and connectomics. We
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protocols, UCSF and regulating agency policies. The duties may include, but will not be limited to supporting the management and coordinating the tasks of single or multiple clinical research studies
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Number 20038221 Vacancy ID P020345 Full-time/Part-time Permanent/Time-Limited Full-Time Permanent If time-limited, estimated duration of appointment Hours per week 40 Work Schedule Monday-Friday, 8am-5pm
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related software applications. Ability to make procedural decisions and judgments, including sensitive, confidential issues. A thorough knowledge of: Business English and arithmetic; general office methods
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, data collection methods, and strategies for data management. Coordinate multiple data collection efforts which may include collaborating agencies or institutions. Duties may also include recruiting
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, and field days, as well as the use of multiple methods of digital communications, including websites, publications, video conferencing, hybrid teaching, all PACE formats, and other digital/online
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scholarship (scholarship of application, scholarship of teaching and learning, etc). Possess effective oral/written communication, problem-solving, computer, and organizational skills involving multiple