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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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Proficiency in fundamentals of machine design: structural analysis, tolerances, precision alignment, actuators, bearings, mechanical properties of materials. + Minimum B.S. in Mechanical Engineering or related field with a minimum 12 years of experience in machine design or semiconductor equipment design.
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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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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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Responsibilities include providing technical contributions as a software engineer for a wide range of projects involving machine learning (ML) and artificial intelligence (AI), including autonomy, sensing and communication, and decision support systems, among others.
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Perform machine preventive maintenance on-screen printer and pick and place machines based on assigned schedules. Utilize SMT machines to place surface mount parts and solder reflow the devices to printed circuit boards.
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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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Hands-on experience with machine learning (including deep learning), and one or more of the following technical areas: computer vision and image processing, multi-modal large language models, speaker identification/verification technologies.
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O RN: $500 for the Ambassador /$250 for the Applicant o LPN/LVN: $300 for the Ambassador /$150 for the Applicant o CNA/MA: $200 for the Ambassador /$100 for the Applicant Please call or text Karen at 909-743-5874 if you are interested in learning more about our travel/contract, registry/perdiem/part time job vacancies or if you would want to refer Healthcare Professionals (Nursing & Allied.
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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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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. E Ink is seeking an experienced Research Scientist or Engineer to join our team and lead the development of novel drive schemes to support the adoption of E Ink displays in new applications.
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BSME (MSME preferred) and 10+ years in robotics or automated machine design including the integration of electronics, firmware and motion control. Expertise in electro-mechanical precision machine design with embeddedsoftware and controls.
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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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machine learning jobs Title: electrical engineer Company: Autodesk in Wilmington, MA
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