199 machine-learning "https:" "https:" "https:" "https:" "https:" uni jobs at University of Utah
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research computing; information security; teaching and learning technologies; software licensing; and a host of other systems and applications. For more information about UIT visit http://www.it.utah.edu
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/uploads/2022/08/R381-100.pdf ) at all times. Aligns with NAEYC Standards (https://www.naeyc.org/sites/default/files/globally-shared/downloads/PDFs/accreditation/early-learning/standards_assessment_2019.pdf
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research computing; information security; teaching and learning technologies; software licensing; and a host of other systems and applications. For more information about UIT visit http://www.it.utah.edu
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FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary Monday – Friday 8 a.m. – 5 p.m. with on call
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FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary Monday – Friday 8 a.m. – 5 p.m. with on call
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skills and an ability and willingness to learn new applications and software, procedures and processes. Demonstrated knowledge of HIPAA regulations to ensure that patient information is guarded and
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for signs for disrepair and provide design remedies as necessary. Create and interpret blueprints, technical drawings, and schematics. Use drafting tools or computer-aided design (CAD) equipment and software
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research computing; information security; teaching and learning technologies; software licensing; and a host of other systems and applications. For more information about UIT visit http://www.it.utah.edu
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applying NLP or machine learning methods to real-world datasets (e.g., clinical text, scientific text, or similarly complex unstructured data) Intermediate to advanced experience with Linux system