85 engineering-computation "https:" "https:" "https:" "https:" uni jobs at Duke University
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) Position Description: Apply Position Description Duke University’s Master of Engineering in Financial Technology program in the Pratt School of Engineering invites applications for a Non-Regular Rank Adjunct
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Step into the Manager, Engineering & Operations role at Duke and drive the performance, reliability, and innovation of critical HVAC, plumbing, and building controls across our clinical and hospital
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and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ DEPARTMENTAL
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Engineering, Computer Science, Biomedical Engineering, Game Design, or a related technical field, or equivalent professional experience. Demonstrated expertise developing VR/AR applications using Unity and/or
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in a field such as electronics or computer technology, or equivalent work/on-the-job training experience. Experience: Minimum five years in a parking environment, preferably in an educational
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, biostatistician, or analyst/programmer role in support of research projects across Duke. Related Competencies: Provide significant intellectual contribution to the research program/shared resource, including
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, policies, and systems to ensure data security and provenance. In addition, recognizes and reports security of physical and electronic data vulnerabilities. Learns and uses new technology when required
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of integrity and scholarly distinction to guide a department recognized for excellence across the environmental, structural, and computational domains of civil and environmental engineering. The successful
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prioritizing the alignment of scientists and research infrastructure with departmental and institutional strategies and program priorities, including those essential to collaborative activities. · Develop
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analysis strategies. • Modify existing lab or computational techniques to support evolving research needs. • Review scientific literature to inform experimental and data analysis approaches. • Use and