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post processing, which includes fixture design, machining plans, etc. The successful candidate will have an interest in AdvM and process engineering. This position may also be responsible for assisting
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the following. • Developing analysis tools to extract physical meaning from in-situ process data. • Developing machine learning algorithms to drive correlation between in-situ process data and end part quality
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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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Position Summary: Are you passionate about creating transformative learning experiences that build connection, empathy, and global understanding across a university campus? Join the University
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erosion testing, research, development and transition materials technology projects. This engineer will also work with teams to design, develop and test machine hardware and software, customize existing
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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
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which include but not limited to, specialized work area, Mongolian grill, impinger ovens, convection ovens, tilt skillet, fryer, industrial dish machine, trayvayors, wood stone pizza ovens, steam tables
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collection, and data analysis. Work activities may include the following. • Developing analysis tools to extract physical meaning from in-situ process data. • Developing machine learning algorithms to drive
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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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management or related field • Experience working with Air Force Research Lab (AFRL) contracts • Familiarity with basic technical concepts of software development and computer systems • Familiarity with