917 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at University of Texas at Austin
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---- Earliest Start Date: Immediately ---- Position Duration: Expected to Continue ---- Location: PICKLE RESEARCH CAMPUS ---- Job Details: Purpose The Signal and Information Sciences Laboratory (SISL) is seeking
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these measurements to test specific mechanistic questions. Perform solution NMR and cryo-EM work to map interaction surfaces and conformational changes, including sample preparation, data collection planning, and data
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, administration of assessments, budgeting, behavioral and neuroimaging tasks implementation, and data analysis and quality control. Responsibilities Study Coordination: -Identify, recruit, and consent research
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, configures, tests, and provides maintenance of clinical information systems with a focus in patient registration, patient scheduling, patient billing, and patient throughput. Serves as a liaison between
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information systems with a focus in patient registration, patient scheduling, patient billing, and patient throughput. Serves as a liaison between business operations and providers, internal
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degree in Computer Science, Computer Engineering, Electrical Engineering or other related discipline. At least three years of professional experience developing or testing software in a Linux environment
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references with their contact 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
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for accurate and timely care coordination. The HAP is also responsible for handling specialty referrals, managing data entry, and engaging with patients through multi-channel communications. The ideal candidate
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disoriented or combative patients, or others. REQUIRED MATERIALS Resume/CV 3 work references with their contact information; at least one reference should be from a supervisor Letter of interest Important for
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authorizations, schedules appointments, and maintains complete and accurate patient demographic and insurance information in the EHR. Acting as a liaison between patients, providers, and scheduling teams