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Should be competent with at least one numerically focused programming environment such as Python or Matlab using the native linear algebra, image processing, and machine learning libraries.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
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Learning: Learning & Development Opportunities to grow your skills and career. At Phoenix Tailings, we have an open culture that values learning, and we are looking to grow the team with enthusiastic individuals who share our vision of sustainable mining.
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The Tsongas Industrial History Center is an education partnership between the University of Massachusetts Lowell School of Education and the National Park Service at Lowell National Historical Park. Utilizing the Park's unique historic resources, including authentic artifacts and primary sources, the Center facilitates experiential learning of industrial history, science, and engineering content through educational programs.
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Implementing and evolving our educational approach, which is rooted in social-emotional learning, STEAM (science, technology, engineering, art, and mathematics) curriculum, and nature-based learning.
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Utilize e-learning authoring tools (e.g., Articulate Storyline, Adobe Captivate) to create course content. Proficiency in E-learning authoring and development tools (Eg: Articulate 360, Adobe Captivate, TechSmith Camtasia, Microsoft’s Office Suite, and Adobe’s Creative Suite.
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Expertise in one or more of the following or related areas: optimization methods, hardware and electronics, machine learning tools, computational physics, and signals and systems. Expertise in one or more of the following or related areas: optimization methods, hardware and electronics, machine learning tools, computational physics, and signals and systems.
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Seurat stands as a vertically integrated Additive Manufacturing (AM) technology company, involved in every aspect from machine design and development to serving as a high-volume supplier of metal 3D printed components.
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Experience with machine vision and image processing, and libraries like OpenCV. Experience with factory automation software and machine control, such as Beckhoff and/or B&R Automation. Experience with machine process optimization (accuracy, cycle time.
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Current advancements are underway in autonomous movement and mobility, artificial intelligence and machine learning, manipulation, simulation, robotic management software, predictive analytics, and much more.
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For this tenure-track position, we seek candidates with expertise in topics including but not limited to (a) healthcare delivery systems; (b) advanced manufacturing, automation, and material handling; (c) applied machine learning and data analytics for manufacturing, logistics, and business decisions; and (d) other advanced topics relevant to industrial engineering.
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KRI headquarters, located at the NU Innovation Campus in Burlington, MA (ICBM), is home to one-of-a-kind research and test facilities for conducting activities related to cognitive and distributed RF signal processing and machine learning, unmanned and autonomous system technologies, as well as quantum materials and sensing.
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You’ll gain additional experience through other departments too – when the online orders are slow, you’ll get to spend time helping in other areas – talk about learning & growth opportunities! The In-Store Shopper not only helps our online customers but those in our store as well.
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Our research interests include radio frequency (RF), machine learning (ML), cognitive electronic warfare (EW), cognitive radio, cognitive signals intelligence (SIGINT), trustworthy AI, novel learning methodologies, and adaptive decision making and control across distributed systems, among others.
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Pearson VUE is a business of Pearson, the world's leading learning company with global-reach and market-leading businesses. To deliver on our strategic vision, we have five business divisions that are the foundation for the long-term growth of the company: Assessment & Qualifications, Virtual Learning, English Language Learning, Workforce Skills and Higher Education.
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machine learning jobs Company: Stryker in Wilmington, MA
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