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school data policies and relevant data regulations alongside producing and sharing data insights both within and outside of the department. The role provides a high-quality analytics service to help
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Applications are invited for a Fixed Term Teaching Fellow in Comparative Politics The ideal candidate will have the required expertise to supervise UG and PGT dissertations and to teach on modules
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programming Expertise in workflow optimization Training in machine learning and AI Highly organized, efficient, and attentive to detail Analytical, resourceful, and able to work independently Strong
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distance-learning strategies. ● Able to make decisions and work independently with exceptional problem solving and analytical skills. ● Maintain accurate electronic records for both the learning management
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-impact problems and to shape the future of intelligent manufacturing. Major Duties/Responsibilities: Develop and deploy data analytics, machine learning, and statistical modeling methods for multimodal
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methodology) and SSIS-supported data pipelines, this role integrates data from multiple enterprise sources to create reliable analytic datasets and metrics. The analyst monitors and validates results, including
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. The department welcomes candidates specializing in Statistics, Machine Learning, or Probability. The preferred start date is September 2026, with possible flexibility to February 2027. The position is based in a
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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AI or machine learning tools applied to facilities analytics or scenario modeling. Experience with SQL, Python, or comparable data analysis tools. Professional certifications such as CFM, CEFP, IFMA
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Assistant Professor - Information Systems, Operations Management, Supply Chain Management, and Busin
AI/ML methodologies , advanced analytics , and data-driven decision making to solve contemporary business challenges. Research methods of particular interest include machine learning , deep learning