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production and automated industry of tomorrow. By combining artificial intelligence, computer vision, industrial inspection, robotics, automation, and control engineering, we create innovative solutions for
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++ skills Experience with scripting languages for quick prototyping of computer vision applications (Python or Matlab preferred) Linux development experience Knowledge of basic software engineering principles
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++ skills Experience with scripting languages for quick prototyping of computer vision applications (Python or Matlab preferred) Linux development experience Knowledge of basic software engineering principles
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, and bio-inspired robotics. Research at our Tübingen site focuses on theoretical and computational aspects of intelligent systems, covering topics such as machine learning, computer vision, control
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GPU-based machine learning infrastructure Developing internal technical documentation, training, examples, or reusable engineering workflows Machine learning, computer vision, or robotics applications
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areas include Biomedical and Biological Computation Methods; Devices and Systems; Communications, Signal Processing, and Networking; Computer Engineering, VLSI, and Circuits; Fields, Photonics, and
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, adaptive control) Experience applying machine learning/AI to engineering systems Proficiency in programming and simulation tools such as Python, MATLAB/Simulink, and/or ML frameworks (TensorFlow
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
developing expertise in tobacco control policy research and systems science. The position is part of the UNC NIH / FDA -funded Tobacco Center of Regulatory Science ( TCORS ). The broad theme of the UNC
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Department: Engineering | Computer Science and Engineering Postdoctoral Scholar in Artificial Intelligence (AI) in and High Performance Computing The Systems and AI (SAI) Research Lab in the
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engineering, computer security, and process improvement. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive systems. Our core