128 postdoctoral-image-processing-in-computer-science positions at University of Dayton
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years of experience in computer numerical control (CNC) programming for metals (i.e. milling, turning, EDM, etc…) • Minimum of 10 years of experience using Mastercam software to program CNC machining
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communication skills, and - Strong computer skills. Special Instructions to Applicants: Closing Statement: Informed by its Catholic and Marianist mission, the University is committed to the principles
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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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responsibilities include processing proposals, awards, and modifications in the Deltek Costpoint system and maintaining several internal databases. This position also manages and tracks representations and
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, and instruments essential to the operation of the labs. This position will oversee a specific area of the laboratory facilities (e.g. Chemical and Materials Engineering teaching and research labs
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ability to get along with widely diverse personalities Basic computer skills Minimum of 5 years experience performing minor HVAC, minor electrical, etc. Individual must have a valid drivers license and be
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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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facilities management, research and manufacturing activities. As a Senior Facilities Specialist, you will play a pivotal role in ensuring the seamless operation and maintenance of our state-of-the-art
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with, and deep understanding of Federal government contracting, bid and proposal, program management, customer relations, and compliance 5. Experience with and understanding of current business processes
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with the Additive Manufacturing processes. • Experienced in performing image analysis. • Basic understanding of computer programing and/or machine learning. • Basic understanding of sensors and data