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including but not limited to those with a research focus in Artificial Intelligence (AI) and expertise in neuromorphic computing, cognitive science, bioinformatics, or closely related fields, as
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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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Research Asst/Assoc/Full Professor, Department of Biostatistics, Health Informatics and Data Science
a full-time faculty to establish an independent research program in methodological and collaborative research focused on Generative Artificial Intelligence and its applications in healthcare and
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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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Research Asst/Assoc/Full Professor, Department of Biostatistics, Health Informatics and Data Science
collaborative research focused on Generative Artificial Intelligence and its applications in healthcare and biomedicine. The ideal candidate must hold a PhD and possess strong methodological expertise in areas
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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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Curriculum Support to set up the logistics of a remediation plan for any student failing the course. Course Evaluation: Collaborate with Dr. Laura Turner, the Associate Dean for Artificial Intelligence and
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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