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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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modelling, innovative and carefully-designed behavioural experiments, in-silico reconstructions of animal interactions, and bio-mimetic robotic systems. You will benefit from a vibrant and inclusive research
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controlled lab environments) and/or human-robot interaction is desirable. You should hold a PhD or be near to completion and must be able to demonstrate an excellent track record in Robotics. You are expected
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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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Physical Sciences Research Council (EPSRC) and is fixed-term for up to eighteen months. The research project will focus on the intersection of robotics, automation, and biotechnology, with
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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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. Join our cutting-edge research program, spearheaded by Prof. Tamar Makin, as we delve into the fascinating realms of motor control, neural representation of the human body, and robotic body augmentation
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. Join our cutting-edge research program, spearheaded by Prof. Tamar Makin, as we delve into the fascinating realms of motor control, neural representation of the human body, and robotic body augmentation
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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
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frameworks (MOFs) and covalent organic frameworks (COFs), for engineering triboelectric energy harvesters and ultrasensitive sensors for soft robotics and smart tires. A major aim of the project is to discover