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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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robots. They will be working with a team composed of PhD students, Research Assistants and Postdocs that is developing novel multi-robot architectures for practical, real-world settings. Current solutions
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About us The Department of Informatics is looking to recruit a Postdoctoral Research Associate. We are a globally recognised center of excellence in artificial intelligence, robotics, and computer
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workflows and validate the established systems in tandem with clinical partners. About You You will possess a PhD (or be nearing completion) in mechanical, electrical, or biomedical engineering, or a related
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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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(model performance) and quality studies (human factors assessment). You should hold a relevant PhD/DPhil (or be near completion) in computer vision or robotics or biomedical image analysis. Knowledge
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The successful candidate will be expected to conduct and lead their own experiments whilst also supervising the activities of junior group members and PhD students Responsibilities will also include assistance in
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from the Institute of Sensors and Signals (ISS) at Heriot-Watt University and Prof. Mike Davies at the University of Edinburgh, Leonardo staff, PhD students and the other PDRAs at the collaborating
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Essential Criteria: Qualifications A good first degree in Computer Science, Machine Learning, Maths and Statistics, Robotics or a related subject. A PhD (or an MSc with extensive research experience) in