546 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at University of Texas at Austin
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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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may be required for mission-related events. Required Materials Resume/CV 3 work references with their contact information; at least one reference should be from a supervisor Important for applicants who
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data analysis software applications to support the development of high-frequency tactical sonar systems. Work and communicate with a cross disciplinary team of engineers and scientists to meet project
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the advanced pharmacy practice experiences (APPE) occurring in the fourth and final year of the curriculum. More information is on the College of Pharmacy's Experiential Programs is available online
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around standard office conditions. May work around biohazards. May work around chemicals. Required Materials Resume/CV 3 work references with their contact information; at least one reference should be
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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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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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insurance information, and communicating with patients regarding their appointments Responsibilities Schedule Patient Appointments Schedule, cancel, and reschedule patient appointments. Coordinate with
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information; at least one reference should be from a supervisor Letter of interest Important for Current university employees and contingent workers: As a current university employee or contingent worker, you
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excellence and operational performance across the healthcare system. This position is responsible for designing, implementing, and evaluating quality improvement initiatives by leveraging data analysis