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Organisation Job description Project and job description This PhD position is dedicated to advancing autonomous robotic manipulation and control within a textile-sorting cell, where garments arrive
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the ecological conditions under which compositionality and dishonest signalling emerge in novel communication systems, using state-of-the-art swarm robotics models. Since there are no archaeological records
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include insertions of needles, catheters, and micro-robots. For effective medical diagnosis and treatment, the device must reach its intended target. In order to increase the targeting accuracy
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under varying lighting, fabric blends, and soiling; (5) porting the inference pipeline to an embedded/edge-compute platform; (6) integrating with our robotic pick-and-place cell for iterative field trials
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tools for speech disorders, real-time language processing for human-robot interaction, and adaptive content generation in augmented and virtual reality environments. The project combines algorithm design
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chemical reaction networks with robotic systems and analytical science. You will also learn how to programme robotic systems and how to implement aspects of deep learning and neural networks for reservoir
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employs around 160 staff members and consists of seven research groups: Greenhouse Technology Greenhouse Automation and Robotics Crop Health Physiology and Product Quality Root Zone Dynamics Crop Management
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that would give you an advantage) Experience in computational modelling (e.g., agent-based Bayesian models, cognitive learning models, machine learning, robotics). Experience in annotation software such as
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of cancer care and healthcare systems research. An interest in the use of complex medical technologies (e.g., precision medicine, genomics, robotics, cell therapies, AI-driven methods) to advance specialised