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decision-making for complex infrastructure systems. This position offers an opportunity to contribute to interdisciplinary research at the intersection of civil engineering, machine learning, and systems
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or worksite; proficient in public speaking and facilitating group learning; experience with Microsoft Office; ability to travel frequently within state of Ohio; valid state of Ohio drivers license; appropriate
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involving T cell transduction, CAR constructs, or gene editing tools. Prior experience with animal models of cancer or immune response. Willingness to learn and adapt to rapidly evolving experimental needs
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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, sensor networks, robotics, and machine learning applied to the integration of computational algorithms and physical processes; Foundational aspects and methods in Machine Learning; Applications of machine
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. Jianyang Gu. This position works closely with the Imageomics team to assist with the collecting, generating, and cleaning data for advancing the Imageomics team’s computer vision and deep learning algorithms
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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental
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systems specifications. Follow applicable trade specific codes, standards and regulations. Learn technical skills and apply new knowledge to solve problems. Select and use hand, power and machine tools
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of Engineering. The appointment will be in the following department: Engineering Education. • Teach 21 credit hours per year of undergraduate courses in both Fundamentals of Engineering (which serves all College
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, quality improvement and cost reduction, current policies, procedures and protocols. Demonstrates computer skills required to perform job functions. Additional Information: 11 East Rhodes is a 39-bed unit in