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: Computer graphics, computer vision, robotics, etc. Machine-assisted Art Practice: Visual, sound, performing, installation, cinematic arts, etc. Critical Studies on Arts and Machine Creativity: Art history
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vision of a diverse, inclusive and innovative Department of Informatics at one of the most prestigious universities in the UK. We seek applicants who will support us in our ambitions in inclusivity and
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 12 hours ago
in future smart environments such as healthcare, manufacturing, and power systems. 4. Machine Learning/Computer Vision for Robotics, including symbiotic intelligence and foundational models for scene
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Engineering, Computer Science, Artificial Intelligence, Computer Vision, Mobile Robotics, Machine Learning, Data Science and Analytics, Applied Mathematics. Location: Taicang, Greater Suzhou, China ABOUT XJTLU
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, nanomedicine, and disease therapeutics. You will be able to contribute to our vision to translate basic disease findings into medicinal RNA approaches to improve the lives of people suffering from
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record of achievement and impact in research, teaching, leadership, and service at a level commensurate with the appointment as a tenured full professor. The candidate should also have a strong vision for
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biosensors Robotics, Automation, and Intelligent Systems – bio-robotics, collaborative robots, and human-machine interaction Biomechanics and Rehabilitation Engineering – musculoskeletal modeling, prosthetics
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of teaching and curriculum development Research impact and experience, funding track record and research vision International impact and experience Societal impact Innovativeness, including commercialization
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endoscopic spine, Robot-assisted surgeries for treatments such as deep brain stimulation (DBS), Stereotactic and robot-assisted surgeries for treatment of conditions like movement disorders and brain tumors
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of expertise in vision-based driving systems. Beyond autonomous vehicles, the project’s advances in sensorimotor imitation learning are expected to benefit a wide range of robotic applications, promoting more