629 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at University of Texas at Austin
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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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Assistant program. Experience working in the front office of a healthcare/medical clinic. Experience using Electronic Health Records, Microsoft Word, Excel software Windows environment. Experience working in
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surgeons and five advanced practice providers in a clinic-based academic program with remarkable prospects in clinical practice, research, and teaching. The ideal candidate should possess excellent clinical
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being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per
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appropriate. Preferred Qualifications Bachelor's Degree in computer sciences or related field. Familiarity or experience with program platforms such as A11y, Dockers, RESTful APIs, SMTP, Object Oriented
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, residents, and fellows will be expected. Opportunities for collaboration with medical and adjunct specialties will be encouraged to allow for the pursuit of innovative program development and clinical
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Required Qualifications Requires a Associate's Degree in Nursing (ADN) from an accredited program. with at least 1 year(s) of experience in outpatient or clinical setting. Registered Nurse (RN) license in
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premier research and education program for the 21st century field of information. We are changing the future by engaging the present and preserving the past. At the School of Information, we are committed
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needs of children and adolescents and provide access to mental health services. YAM is a school-based program for students in eighth through 12th grades to learn about and explore mental health
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performing manual or computer-aided drafting and design (CADD) work. Responsible for preparing and organizing complex drawings and drawing trees for mechanical and electrical engineering data for the Advanced