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facility, woodworking and vacuum forming tools), and the Robotically Augmented Design Lab (RadLAB). The CAED’s Cleveland Urban Design Collaborative (CUDC) provides opportunities for community engagement
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techniques including endovascular and endoscopic spine, Robot-assisted surgeries for treatments such as deep brain stimulation (DBS), Stereotactic and robot-assisted surgeries for treatment of conditions like
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-vision algorithms with edge-computing processing for the automatic detection of non-conformities. Machine-learning techniques will be applied to optimize cutting parameters, and the module will be
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for integrating diverse technologies into cohesive, systems-level solutions with real-world impact. Guided by its vision to be a global leader in nurturing creative minds and visionary talent, the Hub
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of Industrial and Materials Science. The Department of Industrial and Materials Science shares knowledge and their vision of technical solutions for the future industry in a sustainable society. Through
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Associate Professor, Tenured Canada Impact+ Research Chair, Human Mobility and Wearable Technologies
integrates biomechanics, neuroscience, artificial intelligence (AI), and engineering to design the next generation of wearable technologies—such as robotic exoskeletons and intelligent prostheses—that adapt
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fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
of (micro)RNA biology, 3D human model systems, nanomedicine, and computational (ML) disease modelling. You will be able to contribute to our vision to translate basic findings into medicinal RNA approaches
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interdisciplinary programmes in key strategic areas including precision oncology, advanced materials, regional oceanography, artificial intelligence and robotics, data science, cognitive and brain science and
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, vision, and values. The successful candidate will 1) Demonstrate a commitment to excellent teaching in the area of robotics engineering and in the lower division engineering sciences, 2) Have a track