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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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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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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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Position Summary: The Development and Learning Lab at the University of Dayton (Dayton, OH, USA), directed by Dr. Mary Wagner, invites applications from qualified candidates for a full-time Project
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certification or acquire within 9 days. Working knowledge of Microsoft Office. Must possess sound judgement, have demonstrated professionalism, creativity, and the ability to work effectively with diverse
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. This position is well-suited to a curious, hard-working engineer interested in rapidly expanding their professional experiences. The role requires the ability to rapidly learn new concepts and apply them in a
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support for advanced software-intensive technologies to include agile manufacturing, conditioned-based maintenance, augmented reality/virtual reality, learning neural networks, cloud-based infrastructure
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Position Summary: Are you interested in a career opportunity that offers a great benefits package, supports personal and professional growth through wellness programs and life-long learning with
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, administrative & athletic facilities, on a 432 acre urban campus. To learn more about facilities management, visit https://udayton.edu/facilities/index.php. This is not an entry level position; applicants must
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in the areas of product support engineering and logistics engineering. The R&M engineering expert will apply both classical R&M, product support, and logistics engineering, provide training and teach R