467 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at University of Texas at Austin
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interventions as needed. Designs and uses data-driven approaches to ensure ongoing staff growth and program improvements. Utilizes adult learning and cognitive learning science theories to contribute to and
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. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length. ---- Background Checks: A criminal
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analysis. Support the installation and testing of equipment in field locations around the world. Other related functions as assigned. Required Qualifications Bachelor's degree in Computer Science or related
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, a defined benefit retirement plan, with employer matching funds Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b) Flexible spending
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or computer-aided drafting and design (CADD) work. Responsible for compiling and organizing engineering and drafting data into usable form for the Advanced Technology Laboratory (ATL). Responsibilities Time
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of Mechanical Engineering includes six faculty, along with researchers and students, in the study and application of nuclear and radiation engineering, including imaging, robotics, high-performance computing
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focuses on big data analytics and pervasive computing methods to develop adaptive and responsive mental health interventions, with the goal of increasing the reach and impact of mental health care. A
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to employee professional development and wellness services ; the opportunity to qualify for the Public Service Loan Forgiveness (PSLF) federal program. This position may perform work both in-person and
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the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length. ---- Background Checks: A criminal history background check will be required
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knowledge of ICD-10, CPT, HCPCS, and other coding systems and guidelines. Equivalent combination of education and experience may be considered. Preferred Qualifications Master’s degree in Health Informatics