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M.S. or PhD in Mechanical Engineering, Electrical Engineering, Materials Science, or. B.S. in Mechanical Engineering, Electrical Engineering with 5~10 years of relevant.
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The Department also offers a variety of courses that serve students in engineering, science, business, liberal studies, and child and adolescent development departments to help them use mathematics effectively in their chosen field.
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Currently has, or is in the process of obtaining, a PhD degree in Vision Science, Perceptual Psychology, Optics, Computational Imaging, Biomedical Engineering, or a related field with an emphasis on perceptual modeling, psychophysics, and/or metrics evaluating perceptual performance or a related field.
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Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year's experience in software engineering or related area., We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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RoleWe are looking for a hands on Engineering Leader to spearhead the Data Science and Machine learning charter. Required Skills & ExperienceMasters Degree in Computer Science, Applied Mathematics, Linguistics or related discipline (PhD preferred.
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HMI Development and Engineering (D&E) teams consists of several departments of talented electron-optics , physical, software, performance, applications, mechanical, electrical, materials conditioning, and mechatronics engineers working on the development of the latest and most advanced e lectron -beam inspection and metrology equipment for semiconductor applications.
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Bachelor’s degree in relevant field (i.e., Business Administration, Human Resources, Industrial / Organizational Psychology, Data Science/Analytics, Health Program Statistics, Industrial Engineering); master's degree preferred.
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MS or PhD in science or engineering areas with emphasis on high frequency electronics or plasma physics (preference to PhD) Demonstrable 6+ years of strong RF/Plasma at various frequency engineering experience.
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Solid experience (5+ years) in a data science, data engineering, or software engineering role, preferably in a cloud computing or database company. Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
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As a Machine Learning Intern, you will work closely with our data science and engineering teams to develop and implement machine learning algorithms for accurate energy forecasting, contributing to the optimization of our thermal battery systems and renewable energy projects.
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Sanmina's PCB division is at the forefront of this renaissance, offering new opportunities for talented engineers in chemical engineering, material science, physics, and mechanical engineering.
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BS/MS in Computer Science, Statistics, Applied Mathematics, Physics, Electrical Engineering or other quantitative fields with focus on software engineering, machine learning, mathematical algorithms, probability, and statistical modeling.
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Introduction to the job ASML/Brion brings together the most creative minds in science and technology to develop computational lithography software to enable customers on the best process window enhancement solution for the next generation HighNA EUV scanner, as well as best process window control solution to mitigate the process variation during the scanner operation, providing holistic solution for advanced nodes in semi-conductor industries.
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Masters or PhD in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or a related field. If you are passionate about bringing real autonomous driving to the world through engineering excellence in trajectory optimization, software development, and team execution, we are interested in hearing from you.
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Required educational background includes a BS in Engineering Physics, with several years of experience in the related field, or a Master’s degree or higher in any Engineering field, such as Electronics, Physics, Electrical Engineering, Mechanical Engineering, Material Science, or a closely related discipline.
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