223 software-verification-computer-science positions at University of Texas at Austin
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, typically evidenced by a Bachelor's degree in Information Technology, Computer Science, or a related field. Possesses practical experience in healthcare IT environments and strong knowledge of clinical
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. Supports team members. Required Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. 3 years of relevant experience in interface development and healthcare IT
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transfer, fluid mechanics, and interfacial sciences. Experience with experiments and modeling (traditional CFD modeling). Experience with finite element analysis and/or software packages like Comsol or ANSYS
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science, computer science and/or a similar, research-focused field. Fluency with statistical programming and software (R or Python), probability distributions (especially discrete probability distributions
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understand not only the application(s), but also the underlying clinical need that drives its use and evolution. Other related duties as assigned. Required Qualifications Bachelor's degree in Computer Science
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populations. Experience using Microsoft Office software (Word, Excel) and email. Proven ability to develop new technical skills as technology evolves. Demonstrated ability to communicate extensively via
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Program (CIP, >$10M TPC) projects at UT Austin for highly technical, mission critical, and sensitive project types. PDC is actively managing a $1.3 billion hospital project, in partnership with the MD
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of Texas, a defined benefit retirement plan, with employer matching fund Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b) Flexible
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solving and critical thinking skills. Knowledge of operating a multi-phone system or electronic telephone software system. Proficient use of computers. Ability to be flexible and assignments an multi
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multimodal behavioral data, eyetracking, computational modeling, and electroencephalography data. Data collection occurs online and in person. The Research Associate will collaborate with team members and work