132 phd-rehabilitation-engineering-computer-science positions at University of Dayton
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Qualifications: - Bachelors degree in Electrical Engineering or related field - A minimum of three years of directly related experience is required at the R2 level - A minimum of eight years of directly related
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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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infrared (MWIR), long-wave infrared (LWIR) and visible sensors. Minimum Qualifications: - Bachelors degree in Electrical Engineering or related field - A minimum of three years of directly related experience
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bring many of the following: * MS degree in Computer Science, Computer Engineering, or Electrical Engineering; * Data link and enterprise networking experience; * Simulation toolset experience (such as
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, aerospace engineering or related field 2. 15+ years of experience in product development 3. 10+ years of experience with Computer Aided Design software, preferably SolidWorks 4. 10+ years of practical
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Position Summary: Join the University of Dayton Research Institute (UDRI) and Embark on a Rewarding Career in Process Engineering! Are you a talented and ambitious Associate Process Engineer seeking
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of the following: o Developing solutions architectures o Supporting an AFMC program office in engineering role o Operating in Teamcenter or similar product lifecycle management (PLM) system o Working as systems
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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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. Minimum Qualifications: • Master’s degree in Computer Science, Business Administration or a related field. • 10+ years of experience in software quality assurance. • 10+ years of experience with Manual
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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