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(ML), deep learning, reinforcement learning, optimization for/with ML, probabilistic modeling, trustworthy/responsible AI (fairness, safety, privacy, robustness, interpretability), human-centered AI
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research integrating AI with geoscientific applications. - Commitment to excellence in teaching and mentoring. Desired: - Experience with machine learning, deep learning, or other AI techniques applied
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integrates patient care, research, and education. Deep knowledge of current and emerging trends in oncology and healthcare delivery. Demonstrated success ensuring physician accountability to compliance
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development in AI, Machine Learning, Deep Learning, and High-Performance Computing (HPC) to assist in the design of plug-and-play AI solutions for three major use-inspired science cases (digital agriculture
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(AI) and machine learning (ML), as well as predictive models within our Epic platform, IHIS. This role will serve as a subject matter expert (SME) and strategic partner in the planning, implementation
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of Public Affairs. This position develops deep understanding of college audiences to generate compelling visual elements that build awareness, inspire choice and foster affinity for the college while aligning
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manufacturing, materials and forming processes, damage and failure analysis, process simulation, dynamic behavior of materials, and mathematical modeling of manufacturing processes. Deep understanding in process
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is seeking a qualified and enthusiastic Semester Lecturer to teach ENR 3200: Environmental and Natural Resources Policy during the Summer 2025 semester at Stone Laboratory, located in Put-In-Bay, Ohio
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-class faculty, a deep commitment to teaching and professional training, a devotion to community, and the development of future leaders. The college’s more than 11,000 alumni are central to its national
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| Technology Commercialization The Licensing Officer is responsible for cultivating and sustaining deep relationships with university faculty and staff creators and developers of innovations in the College