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by logging into their existing Workday employee account. Position Summary: This position will focus on developing robotics and cyber physical systems solutions, using machine learning and artificial
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written communication. Ability to work collaboratively in a team environment. Eagerness to learn and grow in a dynamic IT setting. Preferred Qualifications/Skills: Experience with Linux server
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scheduled hours. Answers routine reference and directional questions; checking in and checking out materials; helps library visitors with computers, printers and copy machines. Assists library users in
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of computer problems. The Client Computing Engineer will play a key role in managing and supporting endpoint devices across the university, with a strong focus on Microsoft Intune and modern device management
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department. Provides first and second-tier support to the FAU College of Medicine computer user community with all supported technology. Technology includes wireless configuration of student, staff, and
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to assist with course requirements, setting academic goals, and developing academic and career action plans. Collaborate with the FAU Career Center, Center for Teaching and Learning (CTL), FAU college
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statistics, biostatistics, topological data analysis, machine learning, dynamical systems, applications of data science in biology/life sciences, computational biology, and mathematical, statistical, and AI
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devise innovative machine learning and statistical models for analyzing student/employee data. Responsible for all stages of data science and statistical modeling projects. Collaborate with administrators
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organizations, and policymakers to develop evidence-based interventions. Artificial Intelligence & Data Science Integration: Lead efforts to incorporate AI, machine learning, and predictive modeling into public