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Position Summary: Are you a talented and experienced computer engineer seeking to make a lasting impact on cutting-edge research and innovation? Look no further than the Applied Sensing division
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or professional) with: -- 2.1. Machine/Deep learning techniques -- 2.2. Data management/curation, analysis, processing and exploitation -- 2.3. Cryptography -- 2.4. US DOD high performance computing (HPC) clusters
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development efforts using both Additive Manufacturing (AM) and conventional manufacturing methods. This role supports sustainment activities for aerospace and other equipment components. At a high level, tasks
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Operations, Security, and Program Management to ensure alignment across functions. • Perform other related duties as needed. Minimum Qualifications: · Bachelor’s degree in a related field plus a minimum of six
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operation • Ability to create, read and interpret models, technical drawings, schematics, and computer generated reports • Proficient in 3D CAD modeling software • Knowledge of when to apply engineering
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a particularly exciting time to join the University as it continues to invest in student success and in high-impact experiential learning opportunities. This pivotal role provides visionary and
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or certification from a post-secondary culinary arts training program *Successful experience in a high volume ala carte operation for 1 year or more *Managerial ServSafe certification *Proven customer service skills
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, the ideal candidate will bring many of the following: *Degree or certification from a post-secondary culinary arts training program. *Proven experience in a restaurant, catering or university high volume food
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drawings, schematics, and computer-generated reports. 4 years of experience in the design or transition of technology to a validated manufacturing process/operation in the automotive or aerospace industries
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Engineering, Computer Engineering, or Computer Science 2. Demonstrated ability to apply technical concepts discussed in academic papers or journals 3. Demonstrated experience performing high level research