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We have strong research and educational programs in Artificial Intelligence, Machine Learning and Data Science, Bioinformatics and Computational Biology, Human Computer Interaction, Robotics and Autonomous Systems, Software Engineering and Programming Languages, Systems and Networking, and Theoretical Foundations.
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0 years of related experience with a Bachelor's degree in Aerospace Engineering, Computer Science, Computer Engineering, Electrical Engineering, Physics, Imaging Science, Optical Science/Engineering, Robotics, Mechatronics Engineering or other related discipline.
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Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics.
$160,000 - $198,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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BS, MS or PhD degree in electrical engineering, computer science, or related fields (e.g., physics, applied biology, computational design, biodesign, robotics) Support integrated teams as the “hands-on” full-stack support for all electrical engineering and computer science (EECS) needs.
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Code, working with hardware and software, ability to grasp high order concepts in physics, microscopy, hardware design, automation, and robotics, experience with computer vision and machine learning, experience with image processing, experience working with an agile team, experience in SQL.
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Enrolled in a technical certificate or AAS program in Electrical/Electronic Technology, Mechatronics, Manufacturing Technology, Automated Manufacturing, Industrial Automation, Robotics, Industrial Systems and Controls, Electromechanical Technology, Process Technology, Data Science, Computer Information Systems, Computer Science, Mathematics, Statistics, or related field.
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Masters in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or a related field; new PhD graduates are encouraged to apply. Bachelor's Degree preferred in Robotics, Electrical Engineering, Computer Science or related field, or equivalent professional experience.
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Experience in Information Management, Business Management, Economics, Econometrics, Data Science, Computer Science & Engineering, Mathematics & Computer Science but also Robotics & Applied Mathematics or equivalent.
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Certifications in Security+, Network+, GISF, GSEC, CISSP, CCSP, or GPEN, Master’s degree in Computer Science, Information Technology, Engineering, Information Systems, Cybersecurity, or related area and 2 years’ experience leading information security or cybersecurity projects.
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PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree. - PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing.
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Bachelor university degree in Engineering/Computer Science, BCA, MCA. The Robotics Process Automation Technical Architect has good experience in UiPath Platform, Web Technologies (J2EE.
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The successful candidate will teach a variety of core courses within the Bachelor of Science in Computer Science, Bachelor of Science in Robotics and AI, Master of Computer Science, and Master of Artificial Intelligence programs.
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Work in a variety of domains such as computer science research, terrain scanning/modeling, 3D modeling, and serious game development contribute to these tools. We are seeking a highly motivated and experienced Computer Science professional to lead the development of software for physical security applications.
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PhD or equivalent degree in a relevant research field (Engineering, neuroscience, psychology, physics, computer science, or robotics. The Translational NeuroEngineering Laboratory (TNEL) at the University of Minnesota is seeking a PhD-level Staff Scientist (Researcher 5 to lead preclinical programs related to neural oscillationsand oscillation-locked neurostimulation.
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The Stanford Vision and Learning Lab (SVL) at SAIL/the Computer Science Department addresses the theoretical foundations and practical applications of computational vision. As part of the interview process, you will be asked to discuss your past open source projects, design systems for project requirements, and solve simple programming exercises in the computer graphics / robotics domain.
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