141 assistant-and-professor-and-computer-and-science-and-data positions at University of Dayton
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technology, driving innovation and shaping the future of sensor and software systems. At the University of Dayton, we foster a vibrant and inclusive community that values diversity, collaboration, and personal
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, and provide analysis for test data and perform reporting. Minimum Qualifications: • Bachelor of Science degree in engineering, materials science, Aeronautics, or closely related engineering discipline
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positive and seamless residential experience for our students. Reporting to the Assistant Vice President for Student Development and Executive Director of Housing and Residence Life, the Director of Housing
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Knowledge of workstation imaging processes and skill sets required to deploy and maintain images current Windows or OSX operating systems Experience diagnosing and repairing computer hardware issues
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, communication, and computer skills. Assists with the snow removal throughout campus. Ability to communicate and resolve issues with suppliers, sales consultants, and vehicle maintenance shops. Must be available
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, ensuring that our students, faculty, and staff receive exceptional culinary experiences. Your responsibilities will include assisting with food preparation, maintaining a clean and organized kitchen
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Sciences. This position offers a unique opportunity to contribute to the well-being of our student community while playing a pivotal role in providing comprehensive mental health services. Apply today
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, engineering, engineering technology, or equivalent, OR 7 years' demonstrated experience and performance in the NDE field. 2. 3 years of multi-industry NDE experience applying x-ray computed tomography (XCT
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Sciences. This position offers a unique opportunity to contribute to the well-being of our student community while playing a pivotal role in providing comprehensive mental health services. Apply today
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engineering research, serving government, industry and nonprofit customers. Seeking talented individuals with experience in experimental methods, modeling, simulation and analysis of sensor data to support