909 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at University of Texas at Austin
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selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information at the level appropriate to the project requirements
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related to academic records, transcripts, course information, and other Registrar-managed data. Enter, update, and verify the accuracy of records in university systems. Maintain and organize documents
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individuals and information with a high degree of sensitivity and confidentiality in various situations Capacity to work well with physicians and other care providers as part of a multi-disciplinary healthcare
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. Highly proficient in Microsoft Office applications. Ability to work efficiently and flexibly in a fast-paced environment with minimal guidance. Ability to address individuals and information with a high
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challenges with very little supervision. 1 year of relevant administrative experience. Must have proficiency in computer software applications. Must have excellent oral and written communication skills
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responsibilities include recruiting, coordinating, scheduling, data collection related activities. Responsibilities Coordinate subject recruitment using a patient-centered approach to enrollment, according to study
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information; at least one reference should be from a supervisor • Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit
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degree in Electrical or Computer Engineering, Computer Science, Math, Physics. Demonstrated ability using object-oriented programming languages. Strong analytical and problem solving background. Must have
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their infant/toddlers Maintain up-to-date data entry, Asana task management, and scheduling with families Participate in lab recruitment efforts, weekly data meetings, and assessment room set up/clean up
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research described above. Data collection, data curation, data organization and data analysis, bioinformatic analysis, run computational pipelines, survey literature. Properly document lab notebooks