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of Artificial Intelligence and Data Science for Policy. Candidates should have deep expertise in AI/ML/data science methods and the drive to see applications through to real world impact in public policy settings
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AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic
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machine‑learning and deep‑learning frameworks for pathogen detection, drug‑target identification, antimicrobial discovery and protein‑protein interaction characterisation. Working familiarity with
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instruments, and serving as a central liaison between the OGC, university departments, and external entities. The position demands high-level discretion, deep knowledge of institutional policies, and the
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development of explainable and interpretable classical and quantum deep learning algorithms - Design and development of hackathons and other collaborative methodologies to promote the control of artificial
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Business, Business Analytics, Machine Learning/Deep Learning/Reinforcement Learning, Advanced topics in AI, and other technical courses) in the undergraduate and master’s programs. Research in IS pedagogy is
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. Knowledge of machine learning and deep learning for image and time series analysis; experience with cloud or high performance computing environments is an asset. Ability to communicate results clearly in
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custodians of the land, sea and waters of the areas upon which we live and work. We recognise their valuable contributions and deep connection to country and pay respect to Elders past and present. Deliver
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for Languages (CEFR). Knowledge of Python programming. Knowledge of JavaScript. Practical experience in artificial intelligence, machine learning or deep learning, in academic or business environments. Training
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. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color