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to work in the United States. Preferred Qualifications Familiarity with Linux, Mac OS, Linux tools such as Ansible, Spack Programming Languages such as Python, Java, JavaScript, HTML Familiarity with
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scripting languages associated with front-end web development (e.g. HTML, CSS, JavaScript). Knowledge of one or more current programming/ scripting languages used primarily for back-end application
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for business schools or higher education institutions. Working knowledge of web design fundamentals, including Figma, basic HTML/CSS, and accessibility standards (WCAG). Experience with motion graphics or light
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, documentation, and guidance Provide and promote digital accessibility support, resources, and guidance for the https://accessibility.umich.edu/ website. Provide specific, actionable tips and strategies
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the University and national higher ed institutions is preferred Impeccable customer relation skills Experience with HTML or other web protocols Background with remote learning and/or online education Software and
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the University and national higher ed institutions is preferred Impeccable customer relation skills Experience with HTML or other web protocols Background with remote learning and/or online education Software and
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problem-solving skills. Effective customer service and collaborative skills. Ability to quickly understand organizational needs and priorities. Familiarity with basic HTML coding. Familiarity with OCPE
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on Windows Server, SQL Server, HTML, CSS, JavaScript. Has current IT certifications. Knowledge, Skills and Abilities Microsoft Office Suite and SharePoint. Extensive knowledge of various Operating Systems as
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, disability, protected veteran status, or any other basis protected by law. See https://www.asu.edu/aad/manuals/acd/acd401.html and https://www.asu.edu/titleIX/ . In compliance with federal law, ASU prepares
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Canvas Strong working knowledge of WCAG 2.1 Level AA success criteria and techniques Proficiency in HTML and understanding of semantic markup Desired Qualifications Experience with accessibility evaluation