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vision, or SLAM (Simultaneous Localization and Mapping) as applied to physical robotic agents will be an added advantage. A Master's degree (or a Bachelor's degree with 8+ years of relevant experience) in
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, path finding and routing algorithms, sense of direction, human computer interaction, cognitive navigation, intelligent mobility, and artificial intelligence. Sensor fusion and Signals of Opportunity We
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the development of specialized hardware architectures capable of efficient, real-time processing. Embedded AI hardware architectures, including neuromorphic processors and low-power AI accelerators
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. High level of computer literacy, including MS Office and web-based systems, including Excel, Word, Ms Teams and Outlook is essential for this role. You will have significant administrative experience in
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). Originally designed to make video games look realistic, GPUs have evolved into powerful engines for scientific computing. Unlike traditional computer processors, which handle one task at a time, GPUs can carry
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. To investigate this, we will follow two parallel and complementary paths: conducting experiments in the laboratory and using powerful computer simulations. This combined approach allows us to see both the big
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this information reliably can unlock breakthroughs in areas such as healthcare, physiotherapy, robotics, and human-computer interaction. This PhD project will explore new ways of understanding human motion by
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environment Experience of working with students Computer literate Additional Information *X4 Positions Available* Part time (40% FTE) (Weekends Only) Open ended Grade 3: £22,786 - £23,742 p.a. pro-rata
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available immediately and will be based within the NHLI on the Hammersmith Campus. This post is computer based so there is opportunity for hybrid working however you are expected to be available in person
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governing area of work, including Health & Safety and environmental sustainability. 4. Strong written, oral, and IT communication skills, with advanced computer use and strong interpersonal and