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in subjects such as Artificial Intelligence, specifically Machine Learning and Generative Artificial Intelligence, Digital Technologies, Data/Cyber Security and Governance, and Industry 5.0
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for candidates with expertise in the following areas: Artificial Intelligence, Database, Data Analytics, Data Mining, Machine Learning (Deep Learning), and Cloud Computing. Courses are taught at all levels from
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: Artificial Intelligence, Database, Data Analytics, Data Mining, Machine Learning (Deep Learning), and Cloud Computing. Courses are taught at all levels from undergraduate to graduate (master's and doctoral
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convergent team environment with data scientists and engineers to integrate machine learning, data science, and artificial intelligence methods for applications in clean energy, advanced manufacturing, and
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and administration, ERP-related topics, project management, process modeling, IS security and compliance, business intelligence, data mining, cloud computing, and artificial intelligence systems
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, project management, service operations, supply-chain management, supply chain resilience and security, procurement/sourcing management, customs administration, logistics and applications of Artificial
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Learning, Artificial Intelligence, and Probability. The Department is using this position announcement to build a pool of qualified instructors to fill teaching needs as they arise going forward, not hiring
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expertise in the following areas: Artificial Intelligence, Database, Data Analytics, Data Mining, Machine Learning (Deep Learning), and Cloud Computing. Courses are taught at all levels from undergraduate
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data, machine learning and/or artificial intelligence. Essential Functions • Developing and maintaining an externally funded, internationally recognized research program in the applicant’s area of
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information technology (IT) and Artificial Intelligence (AI). We value excellent teaching and personalized student support to help students achieve their goals, whether the goal is to enter a career or to continue their