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for teaching in the areas of accounting and analytics, with a particular interest in emerging technologies, including artificial intelligence. Exhibit enthusiasm for mentoring and engaging with students
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on the candidate’s capabilities and the needs of the Department, such courses may include artificial intelligence / machine learning for business, blockchain technologies, databases and business intelligence, data
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, Tools for Online Learning Creation and Assessment, Trends and Issues in Learning Technology Evaluation. Participate in curriculum and course development. Conduct research in the area of Artificial
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and teaching critically engage the contemporary issues and globally significant challenges of artificial intelligence (AI). The teaching load is two courses per semester. Bowdoin is particularly
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, including ERP/SAP Business analytics and business intelligence Machine learning and artificial intelligence Programming (Python, Java, R, ABAP, etc.) Enterprise infrastructure and security Enterprise systems
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, including: Developing Artificial Intelligence (AI) workflows for advanced spectral analysis for SDSS-V Identifying knowledge gaps in astronomy through data mining Enhancing AI literacy throughout
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preferred. · Experience with integrating Artificial Intelligence & Machine Learning governance tools, processes, and frameworks · 1 – 3 years of SQL programming skills, particularly for Oracle
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postdoctoral experience; Demonstrated research record that combines Artificial Intelligence and/or Machine Learning with one or more of the following areas: Scientific Computing, Modeling & Simulation
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microelectronics), quantum information science (sensing and simulations), and artificial intelligence/machine learning. Research areas highlighted for 2026 include ATLAS, rare event searches with quantum sensors
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year. Areas of interest include: ? Artificial intelligence in medicine ? Biomedical data modeling and ontologies ? Biomedical data science ? Biomedical natural language processing