125 software-verification-computer-science-"insights"-"Washington-University-in-St" positions in United States
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of new software. Minimum Education and Experience: Bachelor's Degree in Computer Science, IT, Data Analysis or relevant field. Plus 3 years of full-time experience in Data Analysis, Computer Science
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the additional perks of working at CSU here . For the total value of CSU benefits in addition to wages, use our compensation calculator . Lastly, click here for more information about why Fort Collins is
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Researcher to join our team. In this role, you'll utilize both qualitative and quantitative research methods to help teams understand user needs, behaviors, and motivations. Your insights will be invaluable in
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energy to the campus and town. Education and Professional Experience: Bachelor’s Degree – computer science, technology, or a related field 3 years of IT work experience Experience in a Student system
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package. This position may be eligible to participate in the Cal State East Bay hybrid telecommute program subject to management approval. Classification Analyst/Programmer, Exempt - Career About Cal State
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of education and/or experience. Proficient in personal computer software (e.g., word processing, spreadsheets, databases) and integrated campus systems (e.g., Banner, Workday). Understands integrated accounting
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-related software. Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) and other relevant software. Responsibilities Program and Project Management Coordinates OB Emergency Simulation
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guidelines. Equivalent combination of education and experience may be considered. Preferred Qualifications Master’s degree in Health Informatics, Public Health or a related field. 5 years of relevant
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. Interdisciplinary Collaboration: Demonstrated ability to work across disciplines, integrating insights from fields such as urban and transport planning, environmental science, public health, and engineering. All
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across the college (e.g., Program Offices) to share data and insights and foster a culture of data-informed decision-making. Identify opportunities for data-driven innovation in Career Management, such as