141 assistant-and-professor-and-computer-and-science-and-data positions at University of Dayton
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experience Experience leading assessment Knowledge of best practices in assessment and their application to program evaluation, strategic planning and continuous improvement Special Instructions to Applicants
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models, technical drawings, schematics, and computer generated reports • Proficient in 3D CAD modeling software • Knowledge of when to apply engineering analyses (i.e. FEA, CFD) • Working knowledge
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: • Advanced Degree in Mechanical Engineering (M.S.) • Proficient with Computer Aided Design Software, i.e. SolidWorks, and LabView • Experienced with the proper use of various machine tools and accessories
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physiological parameters from tissue-optics data, working with students to compare results obtained from different devices and models, and helping to design clinical studies to test the technology in healthy
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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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judgment, have demonstrated professionalism, creativity, and ability to get along with widely diverse personalities. – Basic computer skills. – Minimum of 5 years experience performing work as described
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engineering • Direct experience with USAF Flightline maintenance processes, systems, and/or data • Demonstrated successful experience in any of the following: o Supporting an AFMC program office in engineering
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overseeing groups of autonomous vehicles involving control theory, computer science, and human factors. Minimum Qualifications: * PhD in Mathematics or equivalent * 13+ years of experience in research within
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Division. This senior-level role involves managing composite materials testing labs, supervising technical staff, and executing mechanical and environmental testing of advanced composite materials
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data acquisition through all data sources. • Assists in maintaining data accuracy and integrity through the use of data quality control techniques, analyzing results, and making necessary corrections