626 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab"-"IFM" 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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excellence and operational performance across the healthcare system. This position is responsible for designing, implementing, and evaluating quality improvement initiatives by leveraging data analysis
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the procedures for evaluating academic credit earned internationally. Serve as a resource to faculty and staff on topics related to course equivalencies and grade conversions. Respond to requests for information
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, and external partners to define relevant research questions, co-develop projects, secure data, and align STARR research with evolving industry challenges and State of Texas priorities. Actively seek and
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, programs, and UT’s largest institutional partners. Purpose The Employer Success Manager is responsible for expanding and strengthening UT Austin’s employer ecosystem through strategic partnerships, data
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. Analyze internal data and prepare evaluative reports in accordance with management requirements and stakeholder requests. Assist in geoscience educational curriculum including field guidebook activities and
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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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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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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